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CoRR, December 2024
- Abigail Devereaux, Roger Koppl:
The use of knowledge in open-ended systems. - Jessica Syafaq Muthmaina:
The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia. - Shouvick Mondal, Tse-Hsun Chen:
On Rank Aggregating Test Prioritizations. - Minjun Kim, Sina Falaki:
A Supercomputing Based Distributed Cloud Marketplace. - Jiacheng Ma, Matthis Thorade:
Frost/Defrost Models for Air-Source Heat Pumps with Retained Water Refreezing Considered. - Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. - Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst:
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis. - Michael Griebel, Guanglian Li, Christian Rieger:
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data. - Neel Redkar:
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers. - Frédéric Berdoz, Roger Wattenhofer:
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies. - Martin Moesmann, Torben Bach Pedersen:
Data-Driven Prescriptive Analytics Applications: A Comprehensive Survey. - Tofara Moyo:
Creating Hierarchical Dispositions of Needs in an Agent. - Luis Vilaca, Yi Yu, Paula Vinan:
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning. - Matthew Pierson, Zia Mehrabi:
Mapping waterways worldwide with deep learning. - Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi:
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha, Syeda Eman Fatima, Hassan Aftab Sheikh:
Brick Kiln Dataset for Pakistan's IGP Region Using AI. - Lingzheng Zhang, Lifeng Shen, Yimin Zheng, Shiyuan Piao, Ziyue Li, Fugee Tsung:
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting. - Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou:
Less is More: Efficient Model Merging with Binary Task Switch. - Ferhat Özgür Çatak, Murat Kuzlu, Taylor Patrick:
Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis. - Wei Lin, Qingyu Song, Hong Xu:
Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach. - Shezheng Song, Chengxiang He, Shasha Li, Shan Zhao, Chengyu Wang, Tianwei Yan, Xiaopeng Li, Qian Wan, Jun Ma, Jie Yu, Xiaoguang Mao:
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image. - Zhuofan Wen, Shangtong Gui, Yang Feng:
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration. - Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh, Caisheng Wang, Jiaxuan Gong, Zhongyang Zhao, Michael H. Liao:
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market. - Youngkyu Lee, Shanqing Liu, Jérôme Darbon, George Em Karniadakis:
Automatic discovery of optimal meta-solvers via multi-objective optimization. - Massine El Khader, Elias Al Bouzidi, Abdellah Oumida, Mohammed Sbaihi, Eliott Binard, Jean-Philippe Poli, Wassila Ouerdane, Boussad Addad, Katarzyna Kapusta:
DiffGuard: Text-Based Safety Checker for Diffusion Models. - Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Dali Kaafar:
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs. - Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim:
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. - Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Xiaolong Ma, Shiwei Liu, Lu Yin:
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning. - Gang Dang, Dianhui Wang:
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling. - Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan:
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. - Max Roberts, Ian Colwell, Clara Chew, Dallas Masters, Karl Nordstrom:
The Muon Space GNSS-R Surface Soil Moisture Product. - Justin Jiang:
Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed Solutions. - Avinash Amballa, Durga Sandeep Saluru, Gayathri Akkinapalli, Abhishek Sureddy, Akshay Kumar Sureddy:
Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness. - Nikita Kisel, Illia Volkov, Katerina Hanzelkova, Klara Janouskova, Jiri Matas:
Flaws of ImageNet, Computer Vision's Favourite Dataset. - Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler, Ashish Mahabal, Maryam Eslami:
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics. - Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà:
Task Singular Vectors: Reducing Task Interference in Model Merging. - Guangli Li, Zhehao Zhou, Tuo Sun, Ping Tan, Li Zhang, Zhen Liang:
Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions. - Ching-Yi Wang:
Visual Error Patterns in Multi-Modal AI: A Statistical Approach. - Xiu Yuan:
Unpacking the Individual Components of Diffusion Policy. - Songjiang Lai, Tsun-Hin Cheung, Jiayi Zhao, Kaiwen Xue, Ka-Chun Fung, Kin-Man Lam:
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments. - Neel Jawale, Byron Boots, Balakumar Sundaralingam, Mohak Bhardwaj:
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning. - Cong Wang, Weizhe Yang, Haiping Wang, Renjie Yang, Jing Li, Zhijun Wang, Xinyao Yu, Yixiong Wei, Xianli Huang, Zhaoyang Liu, Changqing Zou, Zhifeng Zhao:
ONION: Physics-Informed Deep Learning Model for Line Integral Diagnostics Across Fusion Devices. - Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi:
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. - Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang:
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. - Libin Liu, Shen Chen, Sen Jia, Jingzhe Shi, Zhongyu Jiang, Can Jin, Wu Zongkai, Jenq-Neng Hwang, Lei Li:
Graph Canvas for Controllable 3D Scene Generation. - Waheed Rehman:
A Novel Approach to Image Steganography Using Generative Adversarial Networks. - Feiyang Huang:
OFCap:Object-aware Fusion for Image Captioning. - Zhyar Rzgar K. Rostam, Gábor Kertész:
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study. - Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi:
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. - Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang:
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Multi-Label Contrastive Learning : A Comprehensive Study. - Pragati Shuddhodhan Meshram, Swetha Karthikeyan, Bhavya, Suma Bhat:
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering? - Angus Fung, Aaron Hao Tan, Haitong Wang, Beno Benhabib, Goldie Nejat:
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models. - Alex Nguyen, Gautam Reddy:
Differential learning kinetics govern the transition from memorization to generalization during in-context learning. - Akram Yoosoofsah:
Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System. - Kazuma Kobayashi, Farid Ahmed, Syed Bahauddin Alam:
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters. - Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang:
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data. - Xinyu Shi, Yixin Tao, Shih-Chi Lin:
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning. - Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh:
Demographic Predictability in 3D CT Foundation Embeddings. - Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou:
Video Set Distillation: Information Diversification and Temporal Densification. - Seong-Eun Hong, Soobin Lim, Juyeong Hwang, Minwook Chang, Hyeongyeop Kang:
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis. - Kart-Leong Lim, Rahul Dutta, Mihai Rotaru:
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis. - Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo:
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. - Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu:
OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation. - Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2024 XCSP3 Competition. - Mohammed Tarnini, Saverio Iacoponi, Andrea Infanti, Cesare Stefanini, Giulia De Masi, Federico Renda:
Boundary Control Behaviors of Multiple Low-cost AUVs Using Acoustic Communication. - Luca Colombo, Fabrizio Pittorino, Manuel Roveri:
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals. - Yang Liu, Jiale Du, Xinbo Gao, Jungong Han:
Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrieval. - Yang Liu, Xinshuo Wang, Jiale Du, Xinbo Gao, Jungong Han:
Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning. - Xuexiang Niu, Jinping Tang, Lei Wang, Ge Zhu:
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback. - Abhinav Das, Stephan Schlüter, Lorenz Schneider:
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression combined with Kernel-Based Support Vector Regression. - Minkyu Lee, Sangeek Hyun, Woojin Jun, Jae-Pil Heo:
Auto-Encoded Supervision for Perceptual Image Super-Resolution. - Batuhan Sariturk, Rabia Bayraktar, Merve Elmas Erdem:
Efficient Learning Content Retrieval with Knowledge Injection. - Lei Zhou, Youwen Zhu, Qiao Xue, Ji Zhang, Pengfei Zhang:
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient. - Siqi Kou, Jiachun Jin, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng:
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. - Hengkui Wu, Panpan Chi, Yongfeng Zhu, Liujiang Liu, Shuyang Hu, Yuexin Wang, Chen Zhou, Qihao Wang, Yingsi Xin, Bruce Liu, Dahao Liang, Xinglong Jia, Manqi Ruan:
Scaling Particle Collision Data Analysis. - Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan:
Open-Sora Plan: Open-Source Large Video Generation Model. - Lennart Köpper, Thomas Wieland:
Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence. - Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego:
Event-based Tracking of Any Point with Motion-Robust Correlation Features. - ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu:
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. - Wenda Shi, Yiren Song, Dengming Zhang, Jiaming Liu, Xingxing Zou:
FonTS: Text Rendering with Typography and Style Controls. - Sihang Li, Siqi Tan, Bowen Chang, Jing Zhang, Chen Feng, Yiming Li:
Unleashing the Power of Data Synthesis in Visual Localization. - Muhammad Huzaifa, Yova Kementchedjhieva:
EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval. - Yihao Luo:
Differentiable Topology Estimating from Curvatures for 3D Shapes. - Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig:
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. - Sicheng Feng, Keda Tao, Huan Wang:
Is Oracle Pruning the True Oracle? - Rocco Manz Maruzzelli, Basile Lewandowski, Lydia Y. Chen:
MPQ-Diff: Mixed Precision Quantization for Diffusion Models. - Emily Liu, Michael Noseworthy, Nicholas Roy:
Semi-Supervised Neural Processes for Articulated Object Interactions. - Martin Atzmueller, Tim Bohne, Patricia Windler:
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis. - Yuichiro Kasahara, Kota Akinari, Tomoya Kouno, Noriko Sano, Taro Abe, Genki Yamauchi, Daisuke Endo, Takeshi Hashimoto, Keiji Nagatani, Ryo Kurazume:
Development of CPS Platform for Autonomous Construction. - Karran Pandey, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra, Paul Guerrero:
Motion Modes: What Could Happen Next? - Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee:
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Ahmad Mohammadshirazi, Pinaki Prasad Guha Neogi, Ser-Nam Lim, Rajiv Ramnath:
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness. - Quentin Houbre, Roel Pieters:
Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery. - Kunyang Han, Yibo Hu, Mengxue Qu, Hailin Shi, Yao Zhao, Yunchao Wei:
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model. - Yuxiang Zhang, Shangxi Wu, Yuqi Yang, Jiangming Shu, Jinlin Xiao, Chao Kong, Jitao Sang:
o1-Coder: an o1 Replication for Coding. - Vadim Pryadilshchikov, Alexander Markin, Artem Komarichev, Ruslan Rakhimov, Peter Wonka, Evgeny Burnaev:
T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. - Taesung Kwon, Jong Chul Ye:
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. - Fuqiang Zhao, Yijing Guo, Siyuan Yang, Xi Chen, Luo Wang, Lan Xu, Yingliang Zhang, Yujiao Shi, Jingyi Yu:
AerialGo: Walking-through City View Generation from Aerial Perspectives. - Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. - Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung:
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections. - Mengbang Zou, Weisi Guo:
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data. - Fouad Trad, Ali Chehab:
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models. - Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Weixin Mao, Weiheng Zhong, Zhou Jiang, Dong Fang, Zhongyue Zhang, Zihan Lan, Fan Jia, Tiancai Wang, Haoqiang Fan, Osamu Yoshie:
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World. - Jesús Pineda, Sergi Masó-Orriols, Joan Bertran, Mattias Goksör, Giovanni Volpe, Carlo Manzo:
Spatial Clustering of Molecular Localizations with Graph Neural Networks. - Jianping Jiang, Weiye Xiao, Zhengyu Lin, Huaizhong Zhang, Tianxiang Ren, Yang Gao, Zhiqian Lin, Zhongang Cai, Lei Yang, Ziwei Liu:
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters. - Dragos-Alexandru Boldisor, Stefan Smeu, Dan Oneata, Elisabeta Oneata:
Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning. - Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba:
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. - Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad:
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting. - Michele De Vita, Vasileios Belagiannis:
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. - Bartosz Sawicki, Michal Smialek, Bartlomiej Skowron:
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence. - Huiqi Zou, Pengda Wang, Zihan Yan, Tianjun Sun, Ziang Xiao:
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots. - Xinmeng Hou, Lingyue Fu, Chenhao Meng, Hai Hu:
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction. - Md Bokhtiar Al Zami, Shaba Shaon, Vu Khanh Quy, Dinh C. Nguyen:
Digital Twin in Industries: A Comprehensive Survey. - Zixing Wang Yi Zhang, Fulvio Forni:
Dissipative iFIR filters for data-driven design. - Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap. - Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter:
Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. - Ivory Yang, Weicheng Ma, Soroush Vosoughi:
NushuRescue: Revitalization of the Endangered Nushu Language with AI. - Apurba Saha, Iftekhar Hakim Kaowsar, Mahdi Hasnat Siyam, M. Sohel Rahman:
Algorithms for Parameterized String Matching with Mismatches. - Saurabh Mishra, Mahendra Shinde, Aniket Yadav, Bilal Ayyub, Anand Rao:
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement. - Michail Koumpanakis, Ricardo Vilalta:
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks. - Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Mahdi Fazeli, Ahmad Patooghy:
MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation. - Udo Hahn:
Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data. - Aaron Bateni:
Hybrid Spiking Neural Network - Transformer Video Classification Model. - Junbo Jacob Lian:
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification. - Orlando Marquez Ayala, Patrice Béchard:
Generating a Low-code Complete Workflow via Task Decomposition and RAG. - H. Çagri Bilgi, Lydia Y. Chen, Kubilay Atasu:
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations. - Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang, Christen Millerdurai, Alain Pagani, Didier Stricker:
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction. - Qiujing Lu, Meng Ma, Ximiao Dai, Xuanhan Wang, Shuo Feng:
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model. - Gordon Lim, Stefan Larson, Kevin Leach:
Robust Testing for Deep Learning using Human Label Noise. - Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen:
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. - Devin Murphy, Junyi Zhu, Paul Pu Liang, Wojciech Matusik, Yiyue Luo:
WiReSens Toolkit: An Open-source Platform towards Accessible Wireless Tactile Sensing. - Oscar Plaisant, Max Lemoine:
Pourquoi existe-t-il de nombreux paradigmes de programmation ? - Talha Tahir:
Fine Tuning Large Language Models to Deliver CBT for Depression. - Poorva Shukla, Bassam Bamieh:
Localization Phenomena in Large-Scale Networked Systems: Implications for Fragility. - Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa:
EF2X Exists For Four Agents. - Simon Mielke, Anthony Stein:
Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks. - Yifan Zhu, Tianyi Xiang, Aaron Dollar, Zherong Pan:
One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering. - Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach:
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification. - João Mattos, Zexi Huang, Mert Kosan, Ambuj Singh, Arlei Silva:
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction. - Patrick Sattler, Matthias Kirstein, Lars Wüstrich, Johannes Zirngibl, Georg Carle:
Lazy Eye Inspection: Capturing the State of Happy Eyeballs Implementations. - Jialong Li, Federico De Marchi, Yiming Lei, Raj Joshi, Balakrishnan Chandrasekaran, Yiting Xia:
Unlocking Diversity of Fast-Switched Optical Data Center Networks with Unified Routing. - Gengzhi He, Curtis Sparks, Nicholas Gravish:
Grasping and Rolling In-plane Manipulation Using Deployable Tape spring Appendages. - Giacomo Bastianel, Marta Vanin, Dirk Van Hertem, Hakan Ergun:
Optimal Transmission Switching and Busbar Splitting in Hybrid AC/DC Grids. - Noemí DeCastro-García, Miguel V. Carriegos, Ángel Luis Muñoz Castañeda:
Construction of observable and MDP convolutional codes with good decodable properties for erasure channels by I/S/O representations. - Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li:
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. - Tao Sun, Sander M. Bohté:
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression. - Oscar Díaz, Xabier Garmendia, Juanan Pereira:
Streamlining the review process: AI-generated annotations in research manuscripts. - Judy X. Yang, Jing Wang, Zekun Long, Chenhong Sui, Jun Zhou:
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning. - Yuta Mizuno, Mohammad Ali, Tamiki Komatsuzaki:
Enumeration algorithms for combinatorial problems using Ising machines. - Avirath Sundaresan, Jason R. Parham, Jonathan P. Crall, Rosemary Warungu, Timothy Muthami, Margaret Mwangi, Jackson Miliko, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the re-ID challenge for static sensors. - Jianhao Jiao, Ruoyu Geng, Yuanhang Li, Ren Xin, Bowen Yang, Jin Wu, Lujia Wang, Ming Liu, Rui Fan, Dimitrios Kanoulas:
Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments. - Michael Jünger, Paul J. Jünger, Petra Mutzel, Gerhard Reinelt:
PACE Solver Description: Exact Solution of the One-sided Crossing Minimization Problem by the MPPEG Team. - Akash Karthikeyan, Yash Vardhan Pant:
Adaptformer: Sequence models as adaptive iterative planners. - Robert Simon Fong, Boyu Li, Peter Tino:
Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals. - Michael V. Klibanov, Trung Truong:
The Second Generation of the Convexification Method for a Coefficient Inverse Problem of the Epidemiology. - Owen Burns, Dana Hughes, Katia P. Sycara:
PlanCritic: Formal Planning with Human Feedback. - Hadi Hosseini, Duohan Zhang:
Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives. - Judy X. Yang, Jing Wang, Chenhong Sui, Zekun Long, Jun Zhou:
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks. - Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Zhe Lin, Brian L. Price, Scott Cohen, Jianming Zhang, Daniel G. Aliaga:
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment. - Karine Karine, Susan A. Murphy, Benjamin M. Marlin:
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings. - Feiyang Liu, Dan Guo, Jingyuan Xu, Zihao He, Shengeng Tang, Kun Li, Meng Wang:
Towards Pixel-Level Prediction for Gaze Following: Benchmark and Approach. - Kazi Nazmul Haque, Rajib Rana, Tasnim Jarin, Bjorn W. Schuller Jr.:
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN). - Olivier Nourry, Masanari Kondo, Shinobu Saito, Yukako Iimura, Naoyasu Ubayashi, Yasutaka Kamei:
Myth: The loss of core developers is a critical issue for OSS communities. - Fangzhou Xu, Sai Zhang, Zhenchang Xing, Xiaowang Zhang, Yahong Han, Zhiyong Feng:
Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension. - Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang:
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs. - Shaohan Yu, Pan Deng, Yu Zhao, Junting Liu, Zi'ang Wang:
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting. - Peixiang Wang, Binbin Li:
Bayesian FFT Modal Identification for Multi-setup Experimental Modal Analysis. - Nikhil Kumar Koditala, Chelsea Jui-Ting Ju, Ruirui Li, Minho Jin, Aman Chadha, Andreas Stolcke:
Improving speaker verification robustness with synthetic emotional utterances. - Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima:
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. - Daomin Ji, Hui Luo, Zhifeng Bao, J. Shane Culpepper:
Robust Table Integration in Data Lakes. - Jongmin Jung, Andreas Jansson, Dasaem Jeong:
MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI. - Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, Fernando Castor:
Analyzing the Energy and Accuracy of LLMs in Software Development. - Martim Veiga, Carlos J. Costa:
Ethics and Artificial Intelligence Adoption. - Junli Deng, Yihao Luo:
Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling. - Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang:
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices. - Conrad Zimmerman, Jenna DiVincenzo:
Gradual Exact Logic: Unifying Hoare Logic and Incorrectness Logic via Gradual Verification. - Hana Satou, Alan Mitkiy:
Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications. - Nadeen Fathallah, Monika Bhole, Steffen Staab:
Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models. - Takayuki Osogami, Hirota Kinoshita, Segev Wasserkrug:
Mechanism design with multi-armed bandit. - Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang:
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. - Wei Zhou, Lei Zhao, Runyu Zhang, Yifan Cui, Hongpu Huang, Kun Qie, Chen Wang:
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey. - Shanu Kumar, Saish Mendke, Karody Lubna Abdul Rahman, Santosh Kurasa, Parag Agrawal, Sandipan Dandapat:
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. - Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi:
On the Role of Noise in Factorizers for Disentangling Distributed Representations. - Wesley H. Holliday:
Vagueness and the Connectives. - Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee:
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models. - Arash Ashuri, Vasilis Gkatzelis:
Simultaneously Satisfying MXS and EFL. - Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu:
Does Self-Attention Need Separate Weights in Transformers? - Yongke Wu, Xiaoping Xie:
Energy-stable mixed finite element methods for the Rosensweig ferrofluid flow model. - Kouki Wakita, Youhei Akimoto, Atsuo Maki:
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks. - Huadong Tang, Youpeng Zhao, Yan Huang, Min Xu, Jun Wang, Qiang Wu:
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation. - Weihang Guo, Zachary K. Kingston, Kaiyu Hang, Lydia E. Kavraki:
Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation. - Daniel Severo, Ashish Khisti, Alireza Makhzani:
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding. - Yang Li, Xing Zhang, Bo Lei, Qianying Zhao, Min Wei, Zheyan Qu, Wenbo Wang:
Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks. - Jim Solomon, Laleh Jalilian, Alexander Vilesov, Meryl Mathew, Tristan Grogan, Arash Bedayat, Achuta Kadambi:
2-Factor Retrieval for Improved Human-AI Decision Making in Radiology. - Dongfang Zhao:
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment. - Chetan Madan, Mayuna Gupta, Soumen Basu, Pankaj Gupta, Chetan Arora:
LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image. - Danilo Costarelli, Michele Piconi:
Implementation of neural network operators with applications to remote sensing data. - Changqing Ji, Keisuke Kawasaki, Isao Hasegwa, Takayuki Okatani:
Bi-Band ECoGNet for ECoG Decoding on Classification Task. - Zhaoxing Gan, Guangnan Ye:
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation. - Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang:
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. - Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He:
Unified Parameter-Efficient Unlearning for LLMs. - Chiya Zhang, Ting Wang, Rubing Han, Yuanxiang Gong:
Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach. - Daniel Camazón Portela, Álvaro Otero Sánchez, Juan Antonio López Ramos:
A generalization of Burmester-Desmedt GKE based on a non-abelian finite group action. - Zehao Li, Wenwei Han, Yujun Cai, Hao Jiang, Baolong Bi, Shuqin Gao, Honglong Zhao, Zhaoqi Wang:
GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision. - Shahrzad Khayatbashi, Najmeh Miri, Amin Jalali:
Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations. - Martin Ziegler, Andres Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe:
On Foundation Models for Dynamical Systems from Purely Synthetic Data. - Daehwa Kim, Mario Srouji, Chen Chen, Jian Zhang:
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning. - Yatian Pang, Bin Zhu, Bin Lin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan:
DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses. - Chen Zhou, Marlen Neubert, Yuri Koide, Yumeng Zhang, Van-Quan Vuong, Tobias Schlöder, Stefanie Dehnen, Pascal Friederich:
PAL - Parallel active learning for machine-learned potentials. - Weikai Xie, Li Zhang, Shihe Wang, Rongjie Yi, Mengwei Xu:
DroidCall: A Dataset for LLM-powered Android Intent Invocation. - Yuwei Fan, Tao Song, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang:
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. - Daizong Liu, Yunbo Tao, Pan Zhou, Wei Hu:
Hard-Label Black-Box Attacks on 3D Point Clouds. - Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran:
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. - Yingchao Wang, Wenqi Niu:
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence. - Mohammad Hasan Rahmani, Rafael Berkvens, Maarten Weyn:
Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP. - Hongxuan Lu, Biao Li:
Sample adaptive data augmentation with progressive scheduling. - Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar:
ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems. - Steffen Dick, Christoph Bockisch, Harrie Passier, Lex Bijlsma, Ruurd Kuiper:
A Feedback Toolkit and Procedural Guidance for Teaching Thorough Testing. - Yu Shi, Yiqi Wang, WeiXuan Lang, Jiaxin Zhang, Pan Dong, Aiping Li:
Mixture of Experts for Node Classification. - Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer:
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability. - Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi:
TAROT: Targeted Data Selection via Optimal Transport. - Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut:
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching. - Guoli Wu, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Xiao Xue, Jianmao Xiao, Guodong Fan, Hongqi Chen, Jingyu Li:
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms. - Harleen Kaur Bagga, Jasmine Bernard, Sahil Shaheen, Sarthak Arora:
Was that Sarcasm?: A Literature Survey on Sarcasm Detection. - Ayoub Hammal, Benno Uthayasooriyar, Caio Corro:
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection. - Teng-Fang Hsiao, Bo-Kai Ruan, Sung-Lin Tsai, Yi-Lun Wu, Hong-Han Shuai:
FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting. - Sharva Gogawale, Madhura Deshpande, Parteek Kumar, Irad Ben-Gal:
Learner Attentiveness and Engagement Analysis in Online Education Using Computer Vision. - Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Yuhai Wang, Maryam Pishgar:
Dynamic Token Selection for Aerial-Ground Person Re-Identification. - Shipeng Liu, Boshen Zhang, Zhehui Huang:
Benchmark Real-time Adaptation and Communication Capabilities of Embodied Agent in Collaborative Scenarios. - Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang:
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training. - Mohammad Taha Shah, Gourab Ghatak, Shobha Sundar Ram:
Fine Grained Analysis and Optimization of Large Scale Automotive Radar Networks. - Marco Favino:
Fractures and thin heterogeneities as Robin-Wentzell interface conditions. - Lukas Baumgärtner, Ronny Bergmann, Roland Herzog, Stephan Schmidt, Manuel Weiß:
Two Models for Surface Segmentation using the Total Variation of the Normal Vector. - Yongqi Zhai, Jiayu Yang, Wei Jiang, Chunhui Yang, Luyang Tang, Ronggang Wang:
Hybrid Local-Global Context Learning for Neural Video Compression. - Xubing Ye, Yukang Gan, Yixiao Ge, Xiao-Ping Zhang, Yansong Tang:
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models. - Atharva Deshpande, Kaushik Gopalan, Jeet Shah, Hrishikesh Simu:
A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge. - Yuxin Tian, Mouxing Yang, Yuhao Zhou, Jian Wang, Qing Ye, Tongliang Liu, Gang Niu, Jiancheng Lv:
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels. - Neil Jerome A. Egarguin, Daniel Onofrei:
Personal Sound Zones and Shielded Localized Communication through Active Acoustic Control. - Mohammed Q. Shormani:
Non-native speakers of English or ChatGPT: Who thinks better? - Weizhe Liu, Renshuai Tao, Hongguang Zhu, Yunda Sun, Yao Zhao, Yunchao Wei:
BGM: Background Mixup for X-ray Prohibited Items Detection. - Gabriel Pedroza:
On the Conditions for Domain Stability for Machine Learning: a Mathematical Approach. - Yutong Zhou, Masahiro Ryo:
AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models. - Sameera Bharadwaja H., Chandra R. Murthy:
A Probably Approximately Correct Analysis of Group Testing Algorithms. - Ramin Mousa, Saeed Chamani, Mohammad Morsali, Mohammad Kazzazi, Parsa Hatami, Soroush Sarabi:
Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizers. - Yu Wang, Xiaofei Zhou, Yichen Wang, Geyuan Zhang, Tianxing He:
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage. - Chenggang Yang, Yuang Shi:
LineGS : 3D Line Segment Representation on 3D Gaussian Splatting. - Xinyu Lin, Tianyu Zhang, Chengbin Hou, Jinbao Wang, Jianye Xue, Hairong Lv:
Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs. - Roberto Ulloa, Frank Mangold, Felix Schmidt, Judith Gilsbach, Sebastian Stier:
Beyond time delays: How web scraping distorts measures of online news consumption. - Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li:
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows. - Jiasi Zhou, Cong Zhou, Yijie Mao, Chintha Tellambura:
Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications. - Alicia Bremer, Jeff Orchard:
Improved Cleanup and Decoding of Fractional Power Encodings. - Chade Li, Pengju Zhang, Yihong Wu:
Density-aware Global-Local Attention Network for Point Cloud Segmentation. - Samuel Mallick, Azita Dabiri, Bart De Schutter:
Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees. - Yan Wang, Jimin Huang, Huan He, Vincent J. Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong:
CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models. - Yuchen Zhao:
A Delay-free Control Method Based On Function Approximation And Broadcast For Robotic Surface And Multiactuator Systems. - Duo Zheng, Shijia Huang, Liwei Wang:
Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding. - Roland Becker, Malte Braack:
Mapped coercivity for the stationary Navier-Stokes equations and their finite element approximations. - Ismail Lotfi, Nouf Alabbasi, Omar Alhussein:
Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems. - Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn:
Distributed Differentially Private Data Analytics via Secure Sketching. - Sealtiel B. Dy, Robert Joachim O. Encinas, Daphne Janelyn L. Go, Kyle Carlo C. Lasala, Bentley Andrew Y. Lu, Maria Monica Manlises, Jordan Aiko Deja:
Point n Move: Designing a Glove-Based Pointing Device. - Xinxin Zhang, S. Hassan HosseinNia:
Enhancing the Reliability of Closed-Loop Describing Function Analysis for Reset Control Applied to Precision Motion Systems. - Leonid Kotyuzanskiy, Artem Klimov:
Homeostasis and Sparsity in Transformer. - Jona Ballé, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer:
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. - Faith Griffin, Kevin Abelgas, Kriz Royce Tahimic, Andrei Kevin Chua, Jordan Aiko Deja, Tyrone Justin Sta Maria:
How Fitts' Fits in 3D: A Tangible Twist on Spatial Tasks. - Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi:
Scalable nonlinear manifold reduced order model for dynamical systems. - Lukas Schulze Balhorn, Kevin Degens, Artur M. Schweidtmann:
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence. - Tyrone Justin Sta Maria, Jordan Aiko Deja:
Alexa, I Wanna See You: Envisioning Smart Home Assistants for the Deaf and Hard-of-Hearing. - Xinzheng Wu, Junyi Chen, Xingyu Xing, Jian Sun, Ye Tian, Lihao Liu, Yong Shen:
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization. - Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. - Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
A Self-Explainable Heterogeneous GNN for Relational Deep Learning. - Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen:
GloCOM: A Short Text Neural Topic Model via Global Clustering Context. - Matyas Bohacek, Hany Farid:
Human Action CLIPS: Detecting AI-generated Human Motion. - Siyu Cen, Bangti Jin, Xiyao Li, Zhi Zhou:
Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks. - Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck:
Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction. - Edith Haim, Natalie Fischer, Salvatore Citraro, Giulio Rossetti, Massimo Stella:
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters. - Hans Matthew Abello, Maxine Beatriz Badiola, Mark John Custer, Lorane Bernadeth Fausto, Patrick Josh Leonida, Denzel Bryan Yongco, Jordan Aiko Deja:
Simon Says: Exploring the Importance of Notification Design Formats on User Engagement. - Ali Shiraee Kasmaee, Mohammad Khodadad, Mohammad Arshi Saloot, Nick Sherck, Stephen Dokas, Hamidreza Mahyar, Soheila Samiee:
ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain. - Gabriel Mantegna, Ziting Huang, Guillaume Van Caelenberg, Bethany Frew, Muireann Lynch, Mark O'Malley:
Maintaining reliability while navigating unprecedented uncertainty: a synthesis of and guide to advances in electric sector resource adequacy. - Yuchen Shi, Huaxin Pei, Liang Feng, Yi Zhang, Danya Yao:
Towards Fault Tolerance in Multi-Agent Reinforcement Learning. - Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu:
FullStack Bench: Evaluating LLMs as Full Stack Coders. - Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar:
Exact Certification of (Graph) Neural Networks Against Label Poisoning. - Ayush Mohanty, Jason Dekarske, Stephen K. Robinson, Sanjay S. Joshi, Nagi Gebraeel:
Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities. - Bastián González-Bustamante:
TextClass Benchmark: A Continuous Elo Rating of LLMs in Social Sciences. - Negin Amirshirzad, Mehmet Arda Eren, Erhan Öztop:
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control. - Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong:
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Noah Lee, Jiwoo Hong, James Thorne:
Evaluating the Consistency of LLM Evaluators. - Daniel Kyselica, Marek Suppa, Jirí Silha, Roman Durikovic:
RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification. - Mohsen Dehghankar, Abolfazl Asudeh:
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks. - Tianshuo Xu, Zhifei Chen, Leyi Wu, Hao Lu, Yuying Chen, Lihui Jiang, Bingbing Liu, Yingcong Chen:
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning. - Yuta Takahashi:
Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control. - Jebish Purbey, Siddhant Gupta, Nikhil Manali, Siddartha Pullakhandam, Drishti Sharma, Ashay Srivastava, Ram Mohan Rao Kadiyala:
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains. - Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou:
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals. - Yue Zhou, Barbara Di Eugenio, Lu Cheng:
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective. - Muqing Cao, Xinhang Xu, Yizhuo Yang, Jianping Li, Tongxing Jin, Pengfei Wang, Tzu-Yi Hung, Guosheng Lin, Lihua Xie:
Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation. - Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. - Michail Dontas, Yutong He, Naoki Murata, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov:
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion. - Lukasz Grzybowski, Jakub Pokrywka, Michal Ciesiólka, Jeremi Kaczmarek, Marek Kubis:
Polish Medical Exams: A new dataset for cross-lingual medical knowledge transfer assessment. - Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection. - Gennaro Auricchio, Jie Zhang:
Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents. - Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina J. Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho:
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. - Akhila Vangara, Alex Egg:
Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyen. - Yupei Li, Manuel Milling, Lucia Specia, Björn W. Schuller:
From Audio Deepfake Detection to AI-Generated Music Detection - A Pathway and Overview. - Théo Fagnoni, Bellinda Mesbah, Mahsun Altin, Phillip Kingston:
Opus: A Large Work Model for Complex Workflow Generation. - Mattson Ogg, Ritwik Bose, Jamie Scharf, Christopher R. Ratto, Michael Wolmetz:
Turing Representational Similarity Analysis (RSA): A Flexible Method for Measuring Alignment Between Human and Artificial Intelligence. - Alex Hanson, Allen Tu, Geng Lin, Vasu Singla, Matthias Zwicker, Tom Goldstein:
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives. - Tingxu Han, Weisong Sun, Yanrong Hu, Chunrong Fang, Yonglong Zhang, Shiqing Ma, Tao Zheng, Zhenyu Chen, Zhenting Wang:
Continuous Concepts Removal in Text-to-image Diffusion Models. - Jason Gibson, Anoushka Alavilli, Erica Tevere, Evangelos A. Theodorou, Patrick Spieler:
Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving. - Fredrik Heiding, Simon Lermen, Andrew Kao, Bruce Schneier, Arun Vishwanath:
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects. - Luca A. Lanzendörfer, Florian Grötschla, Uzeyir Valizada, Roger Wattenhofer:
Audio Atlas: Visualizing and Exploring Audio Datasets. - Shing-Hei Ho, Bao Thach, Minghan Zhu:
Generative LiDAR Editing with Controllable Novel Object Layouts. - Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao:
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation. - Lawrence Chen, Peter Schaldenbrand, Tanmay Shankar, Lia Coleman, Jean Oh:
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model. - Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Mohammed M. Abdelgwad, Adam Jatowt:
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification. - Vít Krátký, Robert Penicka, Jiri Horyna, Petr Stibinger, Tomás Báca, Matej Petrlík, Petr Stepan, Martin Saska:
CAT-ORA: Collision-Aware Time-Optimal Formation Reshaping for Efficient Robot Coordination in 3D Environments. - Steffen Schotthöfer, Beckett Y. Zhou, Tim Albring, Nicolas R. Gauger:
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization. - Stephen Elbourn:
The Impact of Generative AI on Student Churn and the Future of Formal Education. - Resmi Ramachandranpillai, Kishore Sampath, Ayaazuddin Mohammad, Malihe Alikhani:
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions. - Mohammad Sadeq Abolhasani, Rong Pan:
Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation. - Andrew Root, Liam Jakubowski, Mounika Vanamala:
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning. - Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu:
Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. - Ye Zheng, Yidan Hu:
TraCS: Trajectory Collection in Continuous Space under Local Differential Privacy. - Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. - Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli:
Visual Modality Prompt for Adapting Vision-Language Object Detectors. - Chensheng Peng, Ido Sobol, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu, Or Litany:
A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision. - Yogesh Kulkarni, Pooyan Fazli:
VideoSAVi: Self-Aligned Video Language Models without Human Supervision. - You Wu, Xiangyang Yang, Xucheng Wang, Hengzhou Ye, Dan Zeng, Shuiwang Li:
MambaNUT: Nighttime UAV Tracking via Mamba and Adaptive Curriculum Learning. - Rithik Vir, Parsa Madinei:
ARChef: An iOS-Based Augmented Reality Cooking Assistant Powered by Multimodal Gemini LLM. - Peng Zhang, Baosen Zhang:
Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers. - Yihao Zhou, Haowei Xu, Lili Zhang, Shengdong Zhao:
Collective Creation of Intimacy: Exploring the Cosplay Commission Practice within the Otome Game Community in China. - Yang Wu, Huayi Zhang, Yizheng Jiao, Lin Ma, Xiaozhong Liu, Jinhong Yu, Dongyu Zhang, Dezhi Yu, Wei Xu:
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning. - Jiasi Zhou, Cong Zhou, Cheng Zeng, Chintha Tellambura:
Flexible Rate-Splitting Multiple Access for Near-Field Integrated Sensing and Communications. - Ke Li, Yaqin Zhang, Yunqing Huang, Chenyue Xie, Xueshuang Xiang:
Adaptive Basis-inspired Deep Neural Network for Solving Partial Differential Equations with Localized Features. - Hao Jin, Hengyuan Chang, Xiaoxuan Xie, Zhengyang Wang, Xusheng Du, Shaojun Hu, Haoran Xie:
Sketch-Guided Motion Diffusion for Stylized Cinemagraph Synthesis. - Mahdi Erfanian, Mohsen Dehghankar, Abolfazl Asudeh:
Needle: A Generative-AI Powered Monte Carlo Method for Answering Complex Natural Language Queries on Multi-modal Data. - Mahmoud Abo Khamis, Kyle Deeds, Dan Olteanu, Dan Suciu:
Pessimistic Cardinality Estimation. - Jingyang Xiang, Sai Qian Zhang:
DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation. - Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Linhao Qu, Zizhi Chen, Lihua Zhang:
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics. - Zefang Liu:
Multi-Agent Collaboration in Incident Response with Large Language Models. - Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng:
Predictive Inference With Fast Feature Conformal Prediction. - Hongrui Lu, Yuxiong Huang, Tong He, Gengfeng Li:
Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty. - Son Pham Tien, Hieu Nguyen Doan, An Nguyen Dai, Sang Dinh Viet:
Improving Vietnamese Legal Document Retrieval using Synthetic Data. - Emile Anand, Ishani Karmarkar, Guannan Qu:
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning. - Zhi Qi, Shihong Yuan, Yuyin Yuan, Linling Kuang, Yoshiyuki Kabashima, Xiangming Meng:
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint. - Yingjian Chen, Lei Zhang, Yakun Niu, Lei Tan, Pei Chen:
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection. - Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto:
Explaining Object Detectors via Collective Contribution of Pixels. - Yunpeng Bai, Qixing Huang:
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation. - Carson Kohlbrenner, Caleb Escobedo, Nataliya Nechyporenko, Alessandro Roncone:
A Sensor Position Localization Method for Flexible, Non-Uniform Capacitive Tactile Sensor Arrays. - Joey Rivkin, Gregory Valiant, Paul Valiant:
A Generalized Trace Reconstruction Problem: Recovering a String of Probabilities. - Faisal Haque Bappy, Joon S. Park, Kamrul Hasan, Tariqul Islam:
ChainGuard: A Blockchain-based Authentication and Access Control Scheme for Distributed Networks. - Jingwei Zhang, Anh Tien Nguyen, Xi Han, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, Mahdi S. Hosseini:
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification. - Atahan Dokme, Raj Kiriti Velicheti, Melih Bastopcu, Tamer Basar:
Remote Estimation Games with Random Walk Processes: Stackelberg Equilibrium. - Tahrim Hossain, Faisal Haque Bappy, Tarannum Shaila Zaman, Tariqul Islam:
SEAM: A Secure Automated and Maintainable Smart Contract Upgrade Framework. - S. M. Jishanul Islam, Sahid Hossain Mustakim, Sadia Ahmmed, Md. Faiyaz Abdullah Sayeedi, Swapnil Khandoker, Syed Tasdid Azam Dhrubo, Nahid Hossain:
MIMIC: Multimodal Islamophobic Meme Identification and Classification. - Phu Pham, Damon Conover, Aniket Bera:
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting. - Tongshun Zhang, Pingping Liu, Ming Zhao, Haotian Lv:
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement. - Zilin Du, Haoxin Li, Jianfei Yu, Boyang Li:
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding. - Muhammad Fetrat Qharabagh, Mohammadreza Ghofrani, Kimon Fountoulakis:
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models. - Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad:
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture. - Carson Kohlbrenner, Mitchell Murray, Yutong Zhang, Caleb Escobedo, Thomas Dunnington, Nolan Stevenson, Nikolaus Correll, Alessandro Roncone:
A Machine Learning Approach to Contact Localization in Variable Density Three-Dimensional Tactile Artificial Skin. - Rizwanul Haque, SM Tareq Aziz, Tahrim Hossain, Faisal Haque Bappy, Muhammad Nur Yanhaona, Tariqul Islam:
Collaborative Proof-of-Work: A Secure Dynamic Approach to Fair and Efficient Blockchain Mining. - Yuang Wei, Yuan-Hao Jiang, Jiayi Liu, Changyong Qi, Rui Jia:
The Advancement of Personalized Learning Potentially Accelerated by Generative AI. - Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé:
BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View. - Tao Huang, Qingyu Huang, Jiayang Meng:
Intermediate Outputs Are More Sensitive Than You Think. - Tan Le, Van Le:
DISCO-Dynamic Interference Suppression for Radar and Communication Cohabitation. - Jun Ye:
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods. - Guang Wu, Xinbiao Gan, Zhengbin Pang, Bo Huang, Bopin Ran:
Efficient Kernelization Algorithm for Bipartite Graph Matching. - Annika Wilde, Tim Niklas Gruel, Claudio Soriente, Ghassan Karame:
The Forking Way: When TEEs Meet Consensus. - Yue Liu, Chakkrit Tantithamthavorn, Li Li:
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions. - Carson Kohlbrenner, Caleb Escobedo, S. Sandra Bae, Alexander Dickhans, Alessandro Roncone:
GenTact Toolbox: A Computational Design Pipeline to Procedurally Generate Context-Driven 3D Printed Whole-Body Tactile Skins. - Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Scaling New Frontiers: Insights into Large Recommendation Models. - Marina Drygala, Silvio Lattanzi, Andreas Maggiori, Miltiadis Stouras, Ola Svensson, Sergei Vassilvitskii:
Data-Driven Solution Portfolios. - Shuling Zhao, Fa-Ting Hong, Xiaoshui Huang, Dan Xu:
Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation. - Ruifan Huang, Haixia Liu:
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning. - Zheshu Song, Ziyang Ma, Yifan Yang, Jianheng Zhuo, Xie Chen:
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario. - Ziyang Huang, Jun Zhao, Kang Liu:
Towards Adaptive Mechanism Activation in Language Agent. - Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu:
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices. - Ke Yan:
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games. - Sayak Chakrabarty, Souradip Pal:
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach. - Naman Deep Singh, Francesco Croce, Matthias Hein:
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP. - Qipeng Wang, Rui Sheng, Shaolun Ruan, Xiaofu Jin, Chuhan Shi, Min Zhu:
SynthLens: Visual Analytics for Facilitating Multi-step Synthetic Route Design. - Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard, Dylan Campbell, Eldar Insafutdinov, Eyvaz Najafli, Thomas Brox:
SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark. - Ajith Balakrishnan, Sreeja S, Linu Shine:
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention. - Kazuhiro Miyama, Shun Hasegawa, Kento Kawaharazuka, Naoya Yamaguchi, Kei Okada, Masayuki Inaba:
Design of a Five-Fingered Hand with Full-Fingered Tactile Sensors Using Conductive Filaments and Its Application to Bending after Insertion Motion. - Jiahao Cui, Hui Li, Yun Zhan, Hanlin Shang, Kaihui Cheng, Yuqi Ma, Shan Mu, Hang Zhou, Jingdong Wang, Siyu Zhu:
Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Diffusion Transformer Networks. - Hanlin Chen, Fangyin Wei, Gim Hee Lee:
ChatSplat: 3D Conversational Gaussian Splatting. - Julian Berberich, Robert L. Kosut, Thomas Schulte-Herbrüggen:
Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems. - Yuya Koga, Kento Kawaharazuka, Moritaka Onitsuka, Tasuku Makabe, Kei Tsuzuki, Yusuke Omura, Yuki Asano, Kei Okada, Masayuki Inaba:
Modification of muscle antagonistic relations and hand trajectory on the dynamic motion of Musculoskeletal Humanoid. - Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu:
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer. - Margarita Gapeyenko, Stefano Paris, Markus Isomäki, Boyan Yanakiev, Abolfazl Amiri, Benoist Sébire, Jorma Kaikkonen, Chunli Wu, Klaus I. Pedersen:
Overview of NR Enhancements for Extended Reality (XR) in 3GPP 5G-Advanced. - Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective. - Haowei Sun, Jinwu Hu, Zhirui Zhang, Haoyuan Tian, Xinze Xie, Yufeng Wang, Zhuliang Yu, Xiaohua Xie, Mingkui Tan:
A Cross-Scene Benchmark for Open-World Drone Active Tracking. - Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao:
BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. - Gordana Dodig-Crnkovic:
Exploring Cognition through Morphological Info-Computational Framework. - Kaixin Zhang, Hongzhi Wang, Kunkai Gu, Ziqi Li, Chunyu Zhao, Yingze Li, Yu Yan:
MERLIN: Multi-stagE query performance prediction for dynamic paRallel oLap pIpeliNe. - Gordana Dodig-Crnkovic:
Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligence. - Jian Liu, Zhen Yu:
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images. - Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. - Xin Xie, Dong Gong:
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. - Jose Miguel Lara Rangel, Stefan Schoepf, Jack Foster, David Krueger, Usman Anwar:
Learning to Forget using Hypernetworks. - Hao Dong, Wei Wei:
PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis. - Aihua Pei, Zehua Yang, Shunan Zhu, Ruoxi Cheng, Ju Jia:
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts. - Linhai Zhuo, Zheng Wang, Yuqian Fu, Tianwen Qian:
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting. - Anwesha Mukherjee, Rajkumar Buyya:
EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition. - Raynor Kirkson E. Chavez, Kyle Gabriel M. Reynoso:
Explorations in Self-Supervised Learning: Dataset Composition Testing for Object Classification. - Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu:
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series. - Haoyang Long, Yan Wang, Wendong Wang:
DIVD: Deblurring with Improved Video Diffusion Model. - Sankha Das, Amit Dua:
Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics. - Chongyang Zhao, Dong Gong:
Learning Mamba as a Continual Learner. - Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres:
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. - Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan:
Memories of Forgotten Concepts. - Tong Jin, Feng Lu, Shuyu Hu, Chun Yuan, Yunpeng Liu:
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition. - Daniel Kelshaw, Luca Magri:
Proper Latent Decomposition. - Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru:
A Cognac shot to forget bad memories: Corrective Unlearning in GNNs. - Jianhui Li, Bokang Zhang, Junfeng Wu:
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments. - Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok:
Combinatorial Rising Bandit. - Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Eyad Algahtani:
HT-HEDL: High-Throughput Hypothesis Evaluation in Description Logic. - Junhyuk Choi, Yeseon Hong, Minju Kim, Bugeun Kim:
Does chat change LLM's mind? Impact of Conversation on Psychological States of LLMs. - Philip L. Lederer, Christoph Lehrenfeld, Paul Stocker, Igor Voulis:
A unified framework for Trefftz-like discretization methods. - Jingyi Zhao, Yuxuan Ou, Austin Tripp, Morteza Rasoulianboroujeni, José Miguel Hernández-Lobato:
Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach. - Yan Yan, Yuanchi Ma:
Long text outline generation: Chinese text outline based on unsupervised framework and large language mode. - Peijun Bao, Chenqi Kong, Zihao Shao, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild. - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. - Zhaofeng Luo, Zhitong Cui, Shijian Luo, Mengyu Chu, Minchen Li:
VR-Doh: Hands-on 3D Modeling in Virtual Reality. - Hang Su, Ling Gao, Tao Liu, Laurent Kneip:
Motion-Aware Optical Camera Communication with Event Cameras. - Yuhao Lin, Lingqiao Liu, Javen Shi:
Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. - Feng Wang, Shengyu Zhang, Huiting Yang, Tony Q. S. Quek:
Non-Terrestrial Networking for 6G: Evolution, Opportunities, and Future Directions. - Raj Jaiswal, Dhruv Jain, Harsh Popat, Avinash Anand, Abhishek Dharmadhikari, Atharva Marathe, Rajiv Ratn Shah:
Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents. - Bo-Chuan Lin, Chun-Wei Kong, Simone Semeraro, Jay W. McMahon:
A Control Framework for CUBESAT Rendezvous and Proximity Operations using Electric Propulsion. - Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang:
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation. - Eyad Algahtani:
SPILDL: A Scalable and Parallel Inductive Learner in Description Logic. - Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, Ming Li:
EventGPT: Event Stream Understanding with Multimodal Large Language Models. - Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang:
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment. - Christian Möller, Niklas Funk, Jan Peters:
Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models. - Edward Kembery, Ben Bucknall, Morgan Simpson:
Position Paper: Model Access should be a Key Concern in AI Governance. - Jin Lyu, Tianyi Zhu, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An:
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. - Ronghan Chen, Yang Cong, Jiayue Liu:
SAGA: Surface-Aligned Gaussian Avatar. - Avinash Anand, Raj Jaiswal, Abhishek Dharmadhikari, Atharva Marathe, Harsh Popat, Harshil Mital, Kritarth Prasad, Rajiv Ratn Shah, Roger Zimmermann:
Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring. - Weihang Li, Weirong Chen, Shenhan Qian, Jiajie Chen, Daniel Cremers, Haoang Li:
DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair. - Kyuwon Kim, Yige Chen, Eunkyul Leah Jo, Kyungtae Lim, Jungyeul Park, Chulwoo Park:
K-UD: Revising Korean Universal Dependencies Guidelines. - Bohai Gu, Hao Luo, Song Guo, Peiran Dong:
Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion. - Gianluca Ceruti, Jonas Kusch, Christian Lubich, Dominik Sulz:
A parallel Basis Update and Galerkin Integrator for Tree Tensor Networks. - Jack Belham, Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin:
Deep evolving semi-supervised anomaly detection. - Robert M. Corless, Nicolas Fillion:
Structured Backward Error for the WKB method. - Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. - Arijit Samal, Haroon R. Lone:
Thermal Vision: Pioneering Non-Invasive Temperature Tracking in Congested Spaces. - Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Quantifying perturbation impacts for large language models. - Thilini Wijesiriwardene, Ruwan Wickramarachchi, Sreeram Vennam, Vinija Jain, Aman Chadha, Amitava Das, Ponnurangam Kumaraguru, Amit P. Sheth:
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting. - Hamed Haggi, Wei Sun:
Exploiting the Benefits of P2P Energy Exchanges in Resilience Enhancement of Distribution Networks. - Hamed Haggi, James M. Fenton:
Techno-Economic Assessment of Net-Zero Energy Buildings: Financial Projections and Incentives for Achieving Energy Decarbonization Goals. - Hamed Haggi, James M. Fenton:
Distributionally Robust Chance-Constrained Energy Management of Multi-Building Residential Apartment Complexes Using Wasserstein Metric. - Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin:
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification. - Hongxuan Lu, Shenjian Wang, Biao Li:
Complexity boosted adaptive training for better low resource ASR performance. - Haoze Sun, Wenbo Li, Jiayue Liu, Kaiwen Zhou, Yongqiang Chen, Yong Guo, Yanwei Li, Renjing Pei, Long Peng, Yujiu Yang:
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration. - Naixing Xu, Qian Li, Xu Wang, Bingchen Liu, Xin Li:
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning. - Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao:
SyncVIS: Synchronized Video Instance Segmentation. - Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu:
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. - Emily Liu:
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks. - Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye:
Playable Game Generation. - Kun Qian, Tianyu Sun, Wenhong Wang:
Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection. - Huaijin Wang, Zhibo Liu, Yanbo Dai, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements. - Sina Kazemdehbashi:
Adaptive grid-based decomposition for UAV-based coverage path planning in maritime search and rescue. - Grace Colverd, Jumpei Takami, Laura Schade, Karol Bot, Joseph A. Gallego-Mejia:
Tomographic SAR Reconstruction for Forest Height Estimation. - Youjia Zhang, Anpei Chen, Yumin Wan, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang:
Ref-GS: Directional Factorization for 2D Gaussian Splatting. - Einar Broch Johnsen, Eduard Kamburjan, Raúl Pardo, Erik Voogd, Andrzej Wasowski:
Towards a Proof System for Probabilistic Dynamic Logic. - Philipp Schröer, Francesca Randone, Raúl Pardo, Andrzej Wasowski:
Symbolic Quantitative Information Flow for Probabilistic Programs. - Suresh Kumar Amalapuram, Shreya Kumar, Bheemarjuna Reddy Tamma, Sumohana S. Channappayya:
SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection. - Thomas H. Li, Francisco Barreras:
Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data. - Marko Nonhoff, Johannes Köhler, Matthias Albrecht Müller:
Online convex optimization for constrained control of nonlinear systems. - Weiming Ren, Huan Yang, Jie Min, Cong Wei, Wenhu Chen:
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation. - Yuxuan Ou, Jingyi Zhao, Austin Tripp, Morteza Rasoulianboroujeni, José Miguel Hernández-Lobato:
A Deep Generative Model for the Design of Synthesizable Ionizable Lipids. - Kumar Ashutosh, Georgios Pavlakos, Kristen Grauman:
FIction: 4D Future Interaction Prediction from Video. - T. Y. S. S. Santosh, Hassan Sarwat, Matthias Grabmair:
QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval. - Ali Asadi, Krishnendu Chatterjee, Raimundo Saona, Ali Shafiee:
Limit-sure reachability for small memory policies in POMDPs is NP-complete. - Alireza Torabian, Ruth Urner:
Calibration through the Lens of Interpretability. - Narmeen Oozeer, Sinem Erisken, Alice Rigg:
Bilinear Convolution Decomposition for Causal RL Interpretability. - Matteo Manzoni, Sergio Mascetti, Dragan Ahmetovic, Ryan Crabb, James M. Coughlan:
MapIO: Embodied Interaction for the Accessibility of Tactile Maps Through Augmented Touch Exploration and Conversation. - Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang:
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. - Edward Bayes, Israel Abebe Azime, Jesujoba O. Alabi, Jonas Kgomo, Tyna Eloundou, Elizabeth Proehl, Kai Chen, Imaan Khadir, Naome A. Etori, Shamsuddeen Hassan Muhammad, Choice Mpanza, Igneciah Pocia Thete, Dietrich Klakow, David Ifeoluwa Adelani:
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages. - Nicholas Lenzen, Amogh Raut, Andrew Melnik:
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft. - Burak Bekci, Nassir Navab, Federico Tombari, Mahdi Saleh:
ESCAPE: Equivariant Shape Completion via Anchor Point Encoding. - Xie Yu, Jingyuan Wang, Yifan Yang, Qian Huang, Ke Qu:
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis. - Keren Ganon, Morris Alper, Rachel Mikulinsky, Hadar Averbuch-Elor:
WAFFLE: Multimodal Floorplan Understanding in the Wild. - Evi Papadopoulou, Hadi Mohammadi, Ayoub Bagheri:
Large Language Models as Mirrors of Societal Moral Standards. - Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations. - Mijntje Meijer, Hadi Mohammadi, Ayoub Bagheri:
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics. - Christopher W. Brown:
Semantics of Division for Polynomial Solvers. - Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Token Cropr: Faster ViTs for Quite a Few Tasks. - Ali Marashian, Enora Rice, Luke Gessler, Alexis Palmer, Katharina von der Wense:
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation. - Henry Papadatos, Rachel Freedman:
Linear Probe Penalties Reduce LLM Sycophancy. - Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng:
Generating AI Literacy MCQs: A Multi-Agent LLM Approach. - Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld, Sandeep Silwal:
Optimal Algorithms for Augmented Testing of Discrete Distributions. - Klaus Lippert, Konrad U. Förstner:
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references. - Zhe Wang, Haozhu Wang, Yanjun Qi:
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance. - Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola Konstantinov:
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning. - Alan Gatherer, Chaitali Sengupta, Sudipta Sen, Jeffery H. Reed:
Dual-Use Commercial and Military Communications on a Single Platform using RAN Domain Specific Language. - Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu:
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. - Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang:
Provable Partially Observable Reinforcement Learning with Privileged Information. - Eric Wagner, Roman Matzutt, Martin Henze:
Seldom: An Anonymity Network with Selective Deanonymization. - Ahmad Mohammadshirazi, Ali Nosrati Firoozsalari, Rajiv Ramnath:
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis. - Jerry Zhao, Daniel Grubb, Miles Rusch, Tianrui Wei, Kevin Anderson, Borivoje Nikolic, Krste Asanovic:
Instruction Scheduling in the Saturn Vector Unit. - Zhipeng Lyu, Jinrong Su, Zhe Li, Xiang Li, Hanghang Yan, Lei Chen:
A Compact Hybrid Battery Thermal Management System for Enhanced Cooling. - Jenna Kline, Austin O'Quinn, Tanya Y. Berger-Wolf, Christopher Stewart:
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. - Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka:
Competition Dynamics Shape Algorithmic Phases of In-Context Learning. - Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong:
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. - Jindae Kim, Jaewoo Song:
Identifying Root Causes of Null Pointer Exceptions with Logical Inferences. - Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji:
CoRNStack: High-Quality Contrastive Data for Better Code Ranking. - Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel:
e-Fold Cross-Validation for Recommender-System Evaluation. - Xiaoxu Tian:
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models. - Eduardo Slonski:
Detecting Memorization in Large Language Models. - Cade Armstrong, Ryan Park, Xinjie Liu, Kushagra Gupta, David Fridovich-Keil:
Inferring Short-Sightedness in Dynamic Noncooperative Games. - Todor Ivanov, Valeri Penchev:
AI Benchmarks and Datasets for LLM Evaluation. - Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao:
Learning Structured Representations with Hyperbolic Embeddings. - Sherry Qiu, Holly E. Rushmeier, Kim R. M. Blenman:
Towards Understanding the Impact of Guidance in Data Visualization Systems for Domain Experts. - Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao:
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings. - Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen:
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. - Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi:
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. - Yupeng Tan, Sheng Xu, Chengyue Su:
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events. - Muhan Li, Lingji Kong, Sam Kriegman:
Generating Freeform Endoskeletal Robots. - Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos:
Reducing Inference Energy Consumption Using Dual Complementary CNNs. - Susu Fang, Hao Li:
LiDAR SLAMMOT based on Confidence-guided Data Association. - Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg:
TruncFormer: Private LLM Inference Using Only Truncations. - Kyungri Park, Woohwan Jung:
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. - Chanho Eom, Geon Lee, Kyunghwan Cho, Hyeonseok Jung, Moonsub Jin, Bumsub Ham:
Cerberus: Attribute-based person re-identification using semantic IDs. - Bingkai Huang, Yuxiong Huang, Qianwen Hu, Gengfeng Li, Zhaohong Bie:
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance. - Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone:
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. - Youqiang Zheng, Weiping Tu, Yueteng Kang, Jie Chen, Yike Zhang, Li Xiao, Yuhong Yang, Long Ma:
FreeCodec: A disentangled neural speech codec with fewer tokens. - Yongli Zhu, Linna Xu, Jian Huang:
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid. - Lauhitya Reddy, Ketan Anand, Shoibolina Kaushik, Corey Rodrigo, J. Lucas McKay, Trisha M. Kesar, Hyeokhyen Kwon:
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos. - Caihua Li, Seung-Seob Lee, Lin Zhong:
Blindfold: Confidential Memory Management by Untrusted Operating System. - Yuxin Fan, Zhuohuan Hu, Lei Fu, Yu Cheng, Liyang Wang, Yuxiang Wang:
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning. - Jiexi Liu, Meng Cao, Songcan Chen:
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis. - Taekyung Ki, Dongchan Min, Gyeongsu Chae:
FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait. - Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili:
Lookahead Counterfactual Fairness. - Xiaoxue Ma, Yishu Li, Jacky Keung, Xiao Yu, Huiqi Zou, Zhen Yang, Federica Sarro, Earl T. Barr:
Practitioners' Expectations on Log Anomaly Detection. - Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le:
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. - Bowen Zhao, Jiuhui Li, Peiming Xu, Xiaoguo Li, Qingqi Pei, Yulong Shen:
TRUST: A Toolkit for TEE-Assisted Secure Outsourced Computation over Integers. - Dixiao Wei, Peng Yi, Jinlong Lei, Xingyi Zhu:
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai, H. Vincent Poor:
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication. - Shuaijiang Zhao, Tingwei Guo, Bajian Xiang, Tongtang Wan, Qiang Niu, Wei Zou, Xiangang Li:
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data. - Tianwang Jia, Lubin Meng, Siyang Li, Jiajing Liu, Dongrui Wu:
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces. - Linna Xu, Jian Huang, Shan Yang, Yongli Zhu:
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters. - Victor Parque:
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections. - Yuxing Chen, Songlin Wei, Bowen Xiao, Jiangran Lyu, Jiayi Chen, Feng Zhu, He Wang:
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments. - Zhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu:
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator. - Haoran Wang, Herui Zhang, Siyang Li, Dongrui Wu:
Gated Parametric Neuron for Spike-based Audio Recognition. - Sunghun Yang, Minhyeok Lee, Suhwan Cho, Jungho Lee, Sangyoun Lee:
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation. - Penghui Wen, Lei Bai, Mengwei He, Patrick Filippi, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang, Kun Hu:
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting. - Izhar Ali, Million Haileyesus, Serhiy Hnatyshyn, Jan-Lucas Ott, Vasil Hnatyshin:
Automated Extraction of Acronym-Expansion Pairs from Scientific Papers. - Victor Parque:
A Hierarchical Heuristic for Clustered Steiner Trees in the Plane with Obstacles. - Muchao Ye, Weiyang Liu, Pan He:
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. - Katarzyna Musial, Jiaqi Wen, Andreas Gwyther-Gouriotis:
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations. - Shuoyi Zhou, Yixuan Zhou, Weiqing Li, Jun Chen, Runchuan Ye, Weihao Wu, Zijian Lin, Shun Lei, Zhiyong Wu:
The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024. - Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu:
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. - Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali:
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. - Takahito Fujimori:
FRIDAY: Real-time Learning DNN-based Stable LQR controller for Nonlinear Systems under Uncertain Disturbances. - Jun Xiang, Yudong Guo, Leipeng Hu, Boyang Guo, Yancheng Yuan, Juyong Zhang:
One Shot, One Talk: Whole-body Talking Avatar from a Single Image. - Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang:
Multi-Scale Representation Learning for Protein Fitness Prediction. - Emily Chen, Nicholas Huang, Casey Robinson, Kevin Xu, Zihao Huang, Jungyeul Park:
Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories. - Smriti Janaswamy, Jeremy Blackburn:
Exploring Climate Change Discourse: Measurements and Analysis of Reddit Data. - Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui:
Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning. - Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Hao Wu, Zhihang Zhong, Xiao Sun:
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding. - Alejandro Fontán, Javier Civera, Tobias Fischer, Michael Milford:
Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM. - Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A. Beerel:
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication. - Mojtaba Sedigh Fazli, Shannon Quinn:
Object Tracking in a 360o</ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements. - Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv:
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories. - Qingtian Zhu, Yumin Zheng, Yuling Sang, Yifan Zhan, Ziyan Zhu, Jun Ding, Yinqiang Zheng:
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics. - Xiaoyu Du, Yingying Chen, Yang Zhang, Jinhui Tang:
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function. - Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi:
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy. - Yi-Chang Chen, Po-Chun Hsu, Chan-Jan Hsu, Da-shan Shiu:
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation. - Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
A Comprehensive Evaluation of Semantic Relation Knowledge of Pretrained Language Models and Humans. - Joseph Raj Vishal, Divesh Basina, Aarya Choudhary, Bharatesh Chakravarthi:
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks. - Takashi Sato, Shinto Watanabe, Ryo Takahashi, Wakako Yukita, Tomoyuki Yokota, Takao Someya, Yoshihito Kawahara, Eiji Iwase, Junya Kurumida:
Friction jointing of distributed rigid capacitors to stretchable liquid metal coil for full-body wireless charging clothing. - Seongchan Kim, Woojeong Jin, Sangbeom Lim, Heeji Yoon, Hyunwook Choi, Seungryong Kim:
Referring Video Object Segmentation via Language-aligned Track Selection. - Xingsong Ye, Yongkun Du, Yunbo Tao, Zhineng Chen:
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition. - Jianguo Huang, Yuejin Xu:
A Parareal exponential integrator finite element method for linear parabolic equations. - Suhyun Shin, Seungwoo Yoon, Ryota Maeda, Seung-Hwan Baek:
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes. - Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming:
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. - Matthew Ding, Alexandro Garces, Jason Li, Honghao Lin, Jelani Nelson, Vihan Shah, David P. Woodruff:
Space Complexity of Minimum Cut Problems in Single-Pass Streams. - Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le:
A2VIS: Amodal-Aware Approach to Video Instance Segmentation. - Sami Jaghouar, Jack Min Ong, Manveer Basra, Fares Obeid, Jannik Straube, Michael Keiblinger, Elie Bakouch, Lucas Atkins, Maziyar Panahi, Charles Goddard, Max Ryabinin, Johannes Hagemann:
INTELLECT-1 Technical Report. - Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do:
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation. - Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa:
Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. - Wooseok Jang, Youngjun Hong, Geonho Cha, Seungryong Kim:
ControlFace: Harnessing Facial Parametric Control for Face Rigging. - Shintaro Fukushima, Kenji Yamanishi:
Graph Community Augmentation with GMM-based Modeling in Latent Space. - Hussein Hammoud, Yuning Zhang, Zihang Cheng, Seun Sangodoyin, Markus Hofer, Faruk Pasic, Thomas M. Pohl, Radek Závorka, Ales Prokes, Thomas Zemen, Christoph F. Mecklenbräuker, Andreas F. Molisch:
Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz. - Christopher Fusco, Mosam Dabhi, Shin-Fang Ch'ng, Simon Lucey:
Object Agnostic 3D Lifting in Space and Time. - Pamely Zantou, Blessed Guda, Bereket Retta, Gladys Inabeza, Carlee Joe-Wong, Assane Gueye:
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning. - Hanyao Guo, Yunhai Han, Harish Ravichandar:
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics. - Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover:
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Yifan Xu, Xue Jiang, Dongrui Wu:
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition. - Yi Kuang, Jiang Li, Songsong Li, Chaoping Xing:
Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE. - Daiheng Zhang, Chengyue Gong, Qiang Liu:
Rectified Flow For Structure Based Drug Design. - Zijian Chen, Tingzhu Chen, Wen-Jun Zhang, Guangtao Zhai:
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? - Takaaki Fujita:
Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations. - Tao Tang, Hong Liu, Yingxuan You, Ti Wang, Wenhao Li:
Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video. - Colby Fronk, Linda R. Petzold:
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods. - Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam:
MeasureNet: Measurement Based Celiac Disease Identification. - Jia Guo, Longxu Dou, Guangtao Zeng, Stanley Kok, Wei Lu, Qian Liu:
SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages. - Kurukulasooriya Fernando, Gianluca Demartini:
MiningGPT - A Domain-Specific Large Language Model for the Mining Industry. - Jiaxing Zhang, Luosong Guo, Kun Zhu, Houming Qiu:
A Semantic Communication System for Real-time 3D Reconstruction Tasks. - Fangming Zhao, Nikolaos Pappas, Meng Zhang, Howard H. Yang:
Age of Information in Random Access Networks with Energy Harvesting. - Arnav Kharbanda, Advait Chandorkar:
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching. - Xinzhe Shen, Jiale Luo, Hao Wang, Mingyi Liu, Schahram Dustdar, Zhongjie Wang:
A Hybrid BPMN-DMN Framework for Secure Inter-organizational Processes and Decisions Collaboration on Permissioned Blockchain. - Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li:
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences. - Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang:
TinyFusion: Diffusion Transformers Learned Shallow. - Yi Liao, Yongsheng Gao, Weichuan Zhang:
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models. - Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu:
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data. - Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Siamese Machine Unlearning with Knowledge Vaporization and Concentration. - Qiyu Zhuang, Xinyue Shi, Shuang Liu, Wei Lu, Zhanhao Zhao, Yuxing Chen, Tong Li, Anqun Pan, Xiaoyong Du:
GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version). - Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng:
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Zhenzhong Cao, Chenyang Zhao, Qianyi Zhang, Jinzheng Guang, Yinuo Song Jingtai Liu:
RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting. - Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li:
FD-LLM: Large Language Model for Fault Diagnosis of Machines. - Alexei Kaltchenko:
Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis. - Ruichen Wang, Junliang Zhang, Qingsong Xie, Chen Chen, Haonan Lu:
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control. - Zeyuan Li, Qingdao Huang:
Option Pricing with Convolutional Kolmogorov-Arnold Networks. - Qianlong Li, Chen Huang, Shuai Li, Yuanxin Xiang, Deng Xiong, Wenqiang Lei:
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering. - N. Sukumar, Amit Acharya:
Variational formulation based on duality to solve partial differential equations: Use of B-splines and machine learning approximants. - Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari:
Best Practices for Large Language Models in Radiology. - Wenru Liu, Yongkang Song, Chengzhen Meng, Zhiyu Huang, Haochen Liu, Chen Lv, Jun Ma:
Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles. - Canqiang Weng, Can Chen, Jingjun Tan, Tianlu Pan, Renxin Zhong:
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance. - Xiaoqi Zhao, Youwei Pang, Shijie Chang, Yuan Zhao, Lihe Zhang, Huchuan Lu, Jinsong Ouyang, Georges El Fakhri, Xiaofeng Liu:
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - An Ning, Tai-Yue Li, Nan-Yow Chen:
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement. - Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. - Lingyun Zhang, Yu Xie, Yanwei Fu, Ping Chen:
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization. - Jinouwen Zhang, Rongkun Xue, Yazhe Niu, Yun Chen, Jing Yang, Hongsheng Li, Yu Liu:
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective. - Gorkem Polat, Ümit Mert Çaglar, Alptekin Temizel:
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity. - Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar:
Multimodal Fusion Learning with Dual Attention for Medical Imaging. - Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. - Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. - Alan Wake, Bei Chen, C. X. Lv, Chao Li, Chengen Huang, Chenglin Cai, Chujie Zheng, Daniel Cooper, Fan Zhou, Feng Hu, Guoyin Wang, Heng Ji, Howard Qiu, Jiangcheng Zhu, Jun Tian, Katherine Su, Lihuan Zhang, Liying Li, Ming Song, Mou Li, Peng Liu, Qicheng Hu, Shawn Wang, Shijun Zhou, Shiming Yang, Shiyong Li, Tianhang Zhu, Wen Xie, Xiang He, Xiaobo Chen, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Yanpeng Li, Yongke Zhao, Yongzhen Luo, Yuchi Xu, Yuxuan Sha, Zhaodong Yan, Zhiyuan Liu, Zirui Zhang, Zonghong Dai:
Yi-Lightning Technical Report. - Liangwei Jiang, Ruida Li, Zhifeng Zhang, Shuo Fang, Chenguang Ma:
EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation. - Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi:
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. - Michelle Elizabeth, Morgan Veyret, Miguel Couceiro, Ondrej Dusek, Lina Maria Rojas-Barahona:
Do Large Language Models with Reasoning and Acting Meet the Needs of Task-Oriented Dialogue? - Marc Goerigk, Michael Hartisch, Sebastian Merten:
Towards Robust Interpretable Surrogates for Optimization. - Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda:
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey. - Wei Luo, Deyu Zhang, Ying Tang, Fan Wu, Yaoxue Zhang:
EdgeOAR: Real-time Online Action Recognition On Edge Devices. - Yiqin Wang, Haoji Zhang, Jingqi Tian, Yansong Tang:
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control. - Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo:
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Xiaoming Shi, Xiaodan Shao, Beixiong Zheng, Rui Zhang:
6DMA-Aided Cell-Free Massive MIMO Communication. - Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang:
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. - Subham Sahoo, Huai Wang, Frede Blaabjerg:
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives. - Jiazhou Liu, Aravinda S. Rao, Fucai Ke, Tim Dwyer, Benjamin Tag, Pari Delir Haghighi:
AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites. - Sascha Welten, Karl Kindermann, Ahmet Polat, Martin Görz, Maximilian Jugl, Laurenz Neumann, Alexander Neumann, Johannes Lohmöller, Jan Pennekamp, Stefan Decker:
PASTA-4-PHT: A Pipeline for Automated Security and Technical Audits for the Personal Health Train. - Elliot Murphy:
Shadow of the (Hierarchical) Tree: Reconciling Symbolic and Predictive Components of the Neural Code for Syntax. - Joachim Dunkel:
Streamlining the Action Dependency Graph Framework: Two Key Enhancements. - Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo:
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction. - Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen:
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model. - Shan Yang:
MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model. - Sergio López-Ureña, Dionisio F. Yáñez:
Optimal linear subdivision rules for noisy data. - Zhuokun Chen, Jinwu Hu, Zeshuai Deng, Yufeng Wang, Bohan Zhuang, Mingkui Tan:
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion. - Akash Kumar, Sanjoy Dasgupta:
Learning Smooth Distance Functions via Queries. - Qing Yu, Kechuan Dong, Zhiling Guo, Jiaxing Li, Hongjun Tan, Yanxiu Jin, Jian Yuan, Haoran Zhang, Junwei Liu, Qi Chen, Jinyue Yan:
Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets. - Hongyan Zhi, Peihao Chen, Junyan Li, Shuailei Ma, Xinyu Sun, Tianhang Xiang, Yinjie Lei, Mingkui Tan, Chuang Gan:
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences. - Surangika Ranathunga, Rumesh Sirithunga, Himashi Rathnayake, Lahiru De Silva, Thamindu Aluthwala, Saman Peramuna, Ravi Shekhar:
SiTSE: Sinhala Text Simplification Dataset and Evaluation. - Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo:
FedAH: Aggregated Head for Personalized Federated Learning. - Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper:
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames. - Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan:
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning. - Qiyuan Shen, Hengwang Zhao, Weihao Yan, Chunxiang Wang, Tong Qin, Ming Yang:
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures. - Han Han, Wei Zhai, Yang Cao, Bin Li, Zhengjun Zha:
Event-Based Tracking Any Point with Motion-Augmented Temporal Consistency. - Xu Yang, Chenhui Lin, Haotian Liu, Wenchuan Wu:
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks. - Christian Gapp, Elias Tappeiner, Martin Welk, Rainer Schubert:
Multimodal Medical Disease Classification with LLaMA II. - Xin Yan, Yuxuan Cai, Qiuyue Wang, Yuan Zhou, Wenhao Huang, Huan Yang:
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation. - Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu:
The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries. - Spyros Rigas, Michalis Papachristou, Ioannis Sotiropoulos, Georgios Alexandridis:
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks. - Kai Pfeiffer:
Sparse Hierarchical Non-Linear Programming for Inverse Kinematic Planning and Control with Autonomous Goal Selection. - Philippe Lalanda, Germán Vega, Denis Morand:
Microservice-based edge platform for AI services. - Katherine Abramski, Riccardo Improta, Giulio Rossetti, Massimo Stella:
The "LLM World of Words" English free association norms generated by large language models. - Elizabeth Remfry, Rafael Henkin, Michael R. Barnes, Aakanksha Naik:
Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications. - Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? - Junwei Deng, Weijing Tang, Jiaqi W. Ma:
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. - Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer:
Negative Token Merging: Image-based Adversarial Feature Guidance. - Sheikh Shafayat, Dongkeun Yoon, Woori Jang, Jiwoo Choi, Alice Oh, Seohyon Jung:
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls. - Rémi Abgrall, Yongle Liu, Walter Boscheri:
Virtual finite element and hyperbolic problems: the PAMPA algorithm. - Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu:
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models. - Qianyi Chen, Ying Chen, Bo Li:
Practical Performative Policy Learning with Strategic Agents. - Xiyu Han, Xian Zhong, Wenxin Huang, Xuemei Jia, Wenxuan Liu, Xiaohan Yu, Alex Chichung Kot:
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification. - Daniel Arnström, André M. H. Teixeira:
Data-Driven and Stealthy Deactivation of Safety Filters. - Rajesh Mangannavar, Alan Fern, Prasad Tadepalli:
Hierarchical Object-Oriented POMDP Planning for Object Rearrangement. - María C. Bas, Vicente J. Bolós, Alvaro E. Prieto, Roberto Rodríguez-Echeverría, Fernando Sánchez-Figueroa:
A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability. - Chayan Tank, Shaina Mehta, Sarthak Pol, Vinayak Katoch, Avinash Anand, Raj Jaiswal, Rajiv Ratn Shah:
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models. - Aniket K. Singh, Debasis Chaudhuri, Manish Pratap Singh, Samiran Chattopadhyay:
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs. - Carlos J. Costa:
DeFi: Concepts and Ecosystem. - Silvia Lucia Sanna, Leonardo Regano, Davide Maiorca, Giorgio Giacinto:
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study. - Wen-Dong Jiang, Chih-Yung Chang, Show-Jane Yen, Diptendu Sinha Roy:
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability. - Jiakai Wang, Pengfei Zhang, Renshuai Tao, Jian Yang, Hao Liu, Xianglong Liu, Yunchao Wei, Yao Zhao:
Behavior Backdoor for Deep Learning Models. - Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool:
Understanding the World's Museums through Vision-Language Reasoning. - Davide Gallon, Arnulf Jentzen, Philippe von Wurstemberger:
An overview of diffusion models for generative artificial intelligence. - Xiao-Jun Wu, Cai-Jun Zhao, Chun Meng, Hang Wang:
Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO. - Anna Kuzina, Jakub M. Tomczak:
Hierarchical VAE with a Diffusion-based VampPrior. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
Convolutional Transformer Neural Collaborative Filtering. - Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang:
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems. - Shanshan Xiao, Pengzhan Jin, Yifa Tang:
A deformation-based framework for learning solution mappings of PDEs defined on varying domains. - Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough:
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. - Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis F. Gomez, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data. - Nikola Ljubesic, Taja Kuzman, Ivana Filipovic Petrovic, Jelena Parizoska, Petya Osenova:
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route. - Katarzyna Janocha, Annabel Ling, Alice Godson, Yulia Lampi, Simon Bornschein, Nils Y. Hammerla:
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy. - Wenjie Cai, Yi Hu, Xiang Qu, Hui Zhao, Gongyi Wang, Jing Li, Zihan Huang:
Machine Learning Analysis of Anomalous Diffusion. - Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel:
Holistic Understanding of 3D Scenes as Universal Scene Description. - Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci:
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. - Zhuoxiao Li, Shanliang Yao, Qizhong Gao, Ángel F. García-Fernández, Yong Yue, Xiaohui Zhu:
ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency. - Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran:
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation. - Zehuan Wu, Jingcheng Ni, Xiaodong Wang, Yuxin Guo, Rui Chen, Lewei Lu, Jifeng Dai, Yuwen Xiong:
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving. - Aditya Narayan Sankaran, Reza Farahbakhsh, Noël Crespi:
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning. - Peilin Zhou, Bo Du, Yongchao Xu:
CellSeg1: Robust Cell Segmentation with One Training Image. - Miguel Mota-Cruz, João H. Santos, José F. Macedo, Karima Velasquez, David Perez Abreu:
Optimizing Microservices Placement in the Cloud-to-Edge Continuum: A Comparative Analysis of App and Service Based Approaches. - Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu:
Impromptu Cybercrime Euphemism Detection. - Joshua Owotogbe, Indika Kumara, Willem-Jan van den Heuvel, Damian Andrew Tamburri:
Chaos Engineering: A Multi-Vocal Literature Review. - Mikhail Burtsev:
Learning Elementary Cellular Automata with Transformers. - Yichen Wang, Chengcheng Yu:
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking. - Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. - Tiago Dias, João Vitorino, Eva Maia, Isabel Praça:
Network Simulation with Complex Cyber-attack Scenarios. - Yonghao Dang, Liyuan Liu, Hui Kang, Ping Ye, Jianqin Yin:
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection. - Zhu Liu, Cunliang Kong, Ying Liu, Maosong Sun:
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs. - Xinrui Yan, Jiangyan Yi, Jianhua Tao, Yujie Chen, Hao Gu, Guanjun Li, Junzuo Zhou, Yong Ren, Tao Xu:
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio. - Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan:
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration. - Yuelei Wang, Jian Zhang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
CPA: Camera-pose-awareness Diffusion Transformer for Video Generation. - Xiaoguang Han, Yushuang Wu, Luyue Shi, Haolin Liu, Hongjie Liao, Lingteng Qiu, Weihao Yuan, Xiaodong Gu, Zilong Dong, Shuguang Cui:
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images. - Mona Alawadh, Mahesan Niranjan, Hansung Kim:
Semantic Scene Completion with Multi-Feature Data Balancing Network. - Jennifer Ding, Eva Jäger, Victoria Ivanova, Mercedes Bunz:
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset. - Cheng-Yu Pai, Yu-Che Tung, Zhen-Ming Huang, Chao-Yu Chen:
Set Size Bound for Aperiodic Z-Complementary Sets. - Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang:
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model. - Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein:
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. - Heejin Do, Sangwon Ryu, Jonghwi Kim, Gary Geunbae Lee:
Multi-Facet Blending for Faceted Query-by-Example Retrieval. - Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena:
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts. - Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum:
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey. - Lasantha Thakshila Wedage, Bernard Butler, Mehmet Can Vuran, Sasitharan Balasubramaniam, Christos Argyropoulos:
Antennas in Walls: Performance Analysis of Microstrip Patch Antennas Designed for Internet of Paint (IoP). - Ashhadul Islam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari:
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks. - Weiqiao Shan, Long Meng, Tong Zheng, Yingfeng Luo, Bei Li, junxin Wang, Tong Xiao, Jingbo Zhu:
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization. - Md Raqib Khan, Anshul Negi, Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond. - Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle:
Misalignments in AI Perception: Quantitative Findings and Visual Mapping of How Experts and the Public Differ in Expectations and Risks, Benefits, and Value Judgments. - Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen:
A Comprehensive Study of Shapley Value in Data Analytics. - Linh Trinh, Siegfried Mercelis, Ali Anwar:
A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. - Qirui Yang, Yinbo Li, Peng-Tao Jiang, Qihua Cheng, Biting Yu, Yihao Liu, Huanjing Yue, Jingyu Yang:
Learning Differential Pyramid Representation for Tone Mapping. - José Rui Figueira, Kathrin Klamroth, Michael Stiglmayr, Julia Sudhoff Santos:
On the Computational Complexity of Multi-Objective Ordinal Unconstrained Combinatorial Optimization. - Junzhi Li, Jingliang Sun, Teng Long, Zhenlin Zhou:
Differential Flatness-based Fast Trajectory Planning for Fixed-wing Unmanned Aerial Vehicles. - Sangbeom Lim, Seongchan Kim, Seungjun An, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim:
Multi-Granularity Video Object Segmentation. - Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson:
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets. - RuiZhe Jiang, Haotian Lei:
Leverage Domain-invariant assumption for regularization. - Nitish Mital, Simon Malzard, Richard Walters, Celso M. De Melo, Raghuveer Rao, Victoria Nockles:
Improving Object Detection by Modifying Synthetic Data with Explainable AI. - Grzegorz Ficht, Sven Behnke:
Maximum Impulse Approach to Soccer Kicking for Humanoid Robots. - Andrzej Indrzejczak, Michal Zawidzki:
Definite Descriptions and Hybrid Tense Logic. - Cong Xie, Han Zou, Ruiqi Yu, Yan Zhang, Zhenpeng Zhan:
SerialGen: Personalized Image Generation by First Standardization Then Personalization. - Gabriela Ben Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal:
FastRM: An efficient and automatic explainability framework for multimodal generative models.
- Juncheng Dong, Zihao Wu, Hamid Jafarkhani, Ali Pezeshki, Vahid Tarokh:
Offline Stochastic Optimization of Black-Box Objective Functions. - Kee Siong Ng, Samuel Yang-Zhao, Timothy Cadogan-Cowper:
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis. - Abdullah Al Mamun, Abyad Enan, Debbie A. Indah, Judith Mwakalonge, Gurcan Comert, Mashrur Chowdhury:
Crash Severity Risk Modeling Strategies under Data Imbalance. - Mingming Zhang, Jiahao Hu, Pengfei Shi, Ningtao Wang, Ruizhe Gao, Guandong Sun, Feng Zhao, Yulin kang, Xing Fu, Weiqiang Wang, Junbo Zhao:
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data. - Zhihang Lin, Mingbao Lin, Wengyi Zhan, Rongrong Ji:
AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation. - Zhi Qu, Yiran Wang, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Taro Watanabe:
Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation. - Yunkai Dang, Kaichen Huang, Jiahao Huo, Yibo Yan, Sirui Huang, Dongrui Liu, Mengxi Gao, Jie Zhang, Chen Qian, Kun Wang, Yong Liu, Jing Shao, Hui Xiong, Xuming Hu:
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. - Mako Bates, Shun Kashiwa, Syed Jafri, Gan Shen, Lindsey Kuper, Joseph P. Near:
Efficient, Portable, Census-Polymorphic Choreographic Programming. - Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Evaluating the Impact of Data Augmentation on Predictive Model Performance. - Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh:
Direct Coloring for Self-Supervised Enhanced Feature Decoupling. - Chenke Luo, Jiang Ming, Mengfei Xie, Guojun Peng, Jianming Fu:
Retrofitting XoM for Stripped Binaries without Embedded Data Relocation. - Doohee You, Dan Chon:
Trust & Safety of LLMs and LLMs in Trust & Safety. - Haodong Chen, Lan Wang, Harry Yang, Ser-Nam Lim:
OmniCreator: Self-Supervised Unified Generation with Universal Editing. - Md Hafizur Rahman, Md Mashfiq Rizvee, Sumaiya Shomaji, Prabuddha Chakraborty:
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications. - Zeqing Zhang, Guangze Zheng, Xuebo Ji, Guanqi Chen, Ruixing Jia, Wentao Chen, Guanhua Chen, Liangjun Zhang, Jia Pan:
Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning. - Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh:
Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition. - Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan:
Improving Sequential Recommender Systems with Online and In-store User Behavior. - Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang:
Optimizing Latent Goal by Learning from Trajectory Preference. - L. G. A dos Reis, V. L. P. S. Caminha, T. J. P. Penna:
Benchmarking symbolic regression constant optimization schemes. - Gourang Pathak, Abhay Kumar, Sannidhya Rawat, Shikha Gupta:
Streamlining Video Analysis for Efficient Violence Detection. - Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang:
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. - Chaoxiong Ma, Yan Liang, Xinyu Yang, Han Wu, Huixia Zhang:
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making. - Dillon Z. Chen, Mingyu Hao, Sylvie Thiébaux, Felipe Trevizan:
Graph Learning for Planning: The Story Thus Far and Open Challenges. - Matthew Ciolino, Willie Maddox:
From Pixels to Planes: Minimum Ground Sample Distance for Aircraft. - Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition. - Junqiu Yu, Xinlin Ren, Yongchong Gu, Haitao Lin, Tianyu Wang, Yi Zhu, Hang Xu, Yu-Gang Jiang, Xiangyang Xue, Yanwei Fu:
SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images. - Yuci Liang, Xinheng Lyu, Meidan Ding, Wenting Chen, Jipeng Zhang, Yuexiang Ren, Xiangjian He, Song Wu, Sen Yang, Xiyue Wang, Xiaohan Xing, Linlin Shen:
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image. - Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian McAuley:
Personalized Multimodal Large Language Models: A Survey. - Mobina Zibandehpoor, Mehdi Delrobaei:
Persian Version of Wayfinding Questionnaire. - Risto Uuk, Annemieke Brouwer, Tim Schreier, Noemi Dreksler, Valeria Pulignano, Rishi Bommasani:
Effective Mitigations for Systemic Risks from General-Purpose AI. - Jing Liu, Fangfei Li, Xin Jin, Yang Tang:
Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach. - Ashutosh Hathidara, Gaurav Atavale, Suyash Chaudhary:
Mining Tweets to Predict Future Bitcoin Price. - Fernando Gabriela Garcia, Spencer Burns, Harrison Fuller:
Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms. - Lijie Ji, Zhichao Peng, Yanlai Chen:
AAROC: Reduced Over-Collocation Method with Adaptive Time Partitioning and Adaptive Enrichment for Parametric Time-Dependent Equations. - Abulikemu Abuduweili, Changliu Liu:
Revisiting the Initial Steps in Adaptive Gradient Descent Optimization. - Harrison Delecki, Sydney M. Katz, Mykel J. Kochenderfer:
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals. - Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka:
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. - Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Shaahin Angizi, Adnan Siraj Rakin:
Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. - Liqiong Wang, Teng Jin, Jinyu Yang, Ales Leonardis, Fangyi Wang, Feng Zheng:
Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases. - Tony T. Wang, John Hughes, Henry Sleight, Rylan Schaeffer, Rajashree Agrawal, Fazl Barez, Mrinank Sharma, Jesse Mu, Nir Shavit, Ethan Perez:
Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach. - Chengpeng Fu, Tong Li, Hao Chen, Wen Du, Zhidong He:
Towards the efficacy of federated prediction for epidemics on networks. - Ben Ward, Deepshikha Bhati, Fnu Neha, Angela Guercio:
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance. - Yu Yuan, Xijun Wang, Yichen Sheng, Prateek Chennuri, Xingguang Zhang, Stanley Chan:
Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis. - Tianyi Wang, Zichen Wang, Cong Wang, Yuanchao Shu, Ruilong Deng, Peng Cheng, Jiming Chen:
Underload: Defending against Latency Attacks for Object Detectors on Edge Devices. - Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng:
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning. - Nader Karayanni, Aya Awwad, Chein-Lien Hsiao, Surish P. Shanmugam:
Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models. - Lily Chung, Erik D. Demaine, Jenny Diomidova, Tonan Kamata, Jayson Lynch, Ryuhei Uehara, Hanyu Alice Zhang:
All Polyhedral Manifolds are Connected by a 2-Step Refolding. - Shahab Shokouhi, Oguzhan Oruc, May-Win Thein:
Self-Supervised Learning-Based Path Planning and Obstacle Avoidance Using PPO and B-Splines in Unknown Environments. - R. Mahmood, K. C. L. Wong, D. M. Reyes, N. D'Souza, L. Shi, J. Wu, P. Kaviani, M. Kalra, G. Wang, P. Yan, T. Syeda-Mahmood:
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports. - Dongkwan Kim, Alice Oh:
Generalizing Weisfeiler-Lehman Kernels to Subgraphs. - Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo, Sung Ju Hwang:
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding. - Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence K. Q. Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu:
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. - Abu Bakar Siddik, Faisal R. Badal, Afroza Islam:
Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification. - Jayjeet Chakraborty, Matthieu Dorier, Philip Carns, Robert Ross, Carlos Maltzahn, Heiner Litz:
Thallus: An RDMA-based Columnar Data Transport Protocol. - Fan-Yun Sun, Weiyu Liu, Siyi Gu, Dylan Lim, Goutam Bhat, Federico Tombari, Manling Li, Nick Haber, Jiajun Wu:
LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models. - Guanghui Zhu, Zipeng Ji, Jingyan Chen, Limin Wang, Chunfeng Yuan, Yihua Huang:
SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search. - Xiangyong Lu, Masanori Suganuma, Takayuki Okatani:
Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images. - Pritesh Prakash, Ashish Jacob Sam:
Transformer-Metric Loss for CNN-Based Face Recognition. - Jinzhi Zhang, Feng Xiong, Mu Xu:
3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation. - Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, Peng Chen, Ruiqin Chen, Haozhe Feng, Chen Hou, Danqing Huang, Yang Li, Huaming Rao, Haonan Wang, Canshi Wei, Xiaofeng Yang, Yuhui Zhang, Yifeng Zheng, Xiuqi Huang, Minfeng Zhu, Yuxin Ma, Bin Cui, Wei Chen:
DataLab: A Unified Platform for LLM-Powered Business Intelligence. - Zhibo Yang, Jun Tang, Zhaohai Li, Pengfei Wang, Jianqiang Wan, Humen Zhong, Xuejing Liu, Mingkun Yang, Peng Wang, Shuai Bai, LianWen Jin, Junyang Lin:
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy. - Yaxin Liang, Xinshi Li, Xin Huang, Ziqi Zhang, Yue Yao:
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction. - Xingyue Qian, Chenyang Lv, Zhezhi He, Weikang Qian:
High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling. - Renan A. Rojas-Gomez, Minh N. Do:
GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations. - Ayan Banerjee, Sandeep K. S. Gupta:
Recovering implicit physics model under real-world constraints. - Ilan Doron-Arad, Ariel Kulik, Hadas Shachnai:
You (Almost) Can't Beat Brute Force for 3-Matroid Intersection. - Xingyue Qian, Chen Nie, Zhezhi He, Weikang Qian:
MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation. - Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao:
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs. - Advait Chandorkar:
Deep learning approach for predicting the replicator equation in evolutionary game theory. - Yeji Lee, Vineeth K. Bandari, John S. McCaskill, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, Oliver G. Schmidt:
3D Modular Microrobots: Micro-Origami Cubes with Integrated Si Chips Dive, Communicate, Flash Programs, and Form Collectives. - Qisen Wang, Yifan Zhao, Jiawei Ma, Jia Li:
How to Use Diffusion Priors under Sparse Views? - Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang, Yu Zhang, Sijie Wang:
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition. - Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu:
Learning from Concealed Labels. - Muhammad Islam, Niroshinie Fernando, Seng W. Loke, Azadeh Ghari Neiat, Pubudu N. Pathirana:
Blockchain-Enabled Device-Enhanced Multi-Access Edge Computing in Open Adversarial Environments. - Jikai Wang, Huan Zheng, Jianbing Shen:
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution. - Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Amit Levi, Gopinath Mishra, Sayantan Sen:
Testing vs Estimation for Index-Invariant Properties in the Huge Object Model. - Jungwon Park, Jungmin Ko, Dongnam Byun, Jangwon Suh, Wonjong Rhee:
Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models. - Jin Huang, Pengfei Chen, Guangba Yu, Yilun Wang, Haiyu Huang, Zilong He:
FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications. - Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu:
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. - Kazuto Nakashima, Xiaowen Liu, Tomoya Miyawaki, Yumi Iwashita, Ryo Kurazume:
Fast LiDAR Data Generation with Rectified Flows. - Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng:
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means. - Jun Hu, Zhang Chen, Zhong Li, Yi Xu, Juyong Zhang:
SparseLGS: Sparse View Language Embedded Gaussian Splatting. - Parth Saxena, Pratham Saxena, Adarsh Sowcar, Sreeharsha Angara, Ashutosh Pandey, Thomas Basikolo:
Development and Performance of a Static Pluviometer System. - Jing Zeng, Qi Ye, Tianle Liu, Yang Xu, Jin Li, Jinming Xu, Liang Li, Jiming Chen:
Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance. - Javier Ureña Santiago, Thomas Ströhle, Antonio Rodríguez-Sánchez, Ruth Breu:
Vision Transformers for Weakly-Supervised Microorganism Enumeration. - Da Ma, Lu Chen, Situo Zhang, Yuxun Miao, Su Zhu, Zhi Chen, Hongshen Xu, Hanqi Li, Shuai Fan, Lei Pan, Kai Yu:
Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity. - Miroslav Purkrabek, Jiri Matas:
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation. - Mingzhe Zheng, Yongqi Xu, Haojian Huang, Xuran Ma, Yexin Liu, Wenjie Shu, Yatian Pang, Feilong Tang, Qifeng Chen, Harry Yang, Ser-Nam Lim:
VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation. - Jingyu Gong, Chong Zhang, Fengqi Liu, Ke Fan, Qianyu Zhou, Xin Tan, Zhizhong Zhang, Yuan Xie, Lizhuang Ma:
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis. - Sepand Dyanatkar, Angran Li, Alexander Dungate:
Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation. - Youquan Xian, Xueying Zeng, Duancheng Xuan, Danping Yang, Chunpei Li, Peng Fan, Peng Liu:
Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence. - Maximilian Schenke, Shalbus Bukarov:
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum. - Indronil Bhattacharjee, Al-Mahmud, Tareq Mahmud:
Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches. - Jan Kadel, August See, Ritwik Sinha, Mathias Fischer:
BOTracle: A framework for Discriminating Bots and Humans. - Zhiyuan Chen, Fan Lu, Guo Yu, Bin Li, Sanqing Qu, Yuan Huang, Changhong Fu, Guang Chen:
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos. - Wenjing Jiang, Jin Yan, Sachin S. Sapatnekar:
ML-based AIG Timing Prediction to Enhance Logic Optimization. - Wenxuan Wang, Chenglei Wang, Huihui Qi, Menghao Ye, Xuelin Qian, Peng Wang, Yanning Zhang:
Sustainable Self-evolution Adversarial Training. - Preetika Verma, Kokil Jaidka:
MediaSpin: Exploring Media Bias Through Fine-Grained Analysis of News Headlines. - Lillian Muyama, Estelle Lu, Geoffrey Cheminet, Jacques Pouchot, Bastien Rance, Anne-Isabelle Tropeano, Antoine Neuraz, Adrien Coulet:
Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning. - Davide Martinenghi:
Parallelizing the Computation of Robustness for Measuring the Strength of Tuples. - Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele:
PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging. - Changzhi Zhou, Dandan Song, Yuhang Tian, Zhijing Wu, Hao Wang, Xinyu Zhang, Jun Yang, Ziyi Yang, Shuhao Zhang:
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis. - Jaehyun Choi, Junwon Ko, Dong-Jae Lee, Junmo Kim:
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. - Junyuan Wang, Tianyao Wu, Ouyang Zhou, Yaping Zhu:
Exploring Evolutionary Spectral Clustering for Temporal-Smoothed Clustered Cell-Free Networking. - Lei Yu, Hongyang Chen, Jingsong Lv, Linyao Yang:
GQWformer: A Quantum-based Transformer for Graph Representation Learning. - David Levin, José M. Ramón, Juan Ruiz-Alvarez, Dionisio F. Yáñez:
Weighted Essentially Non-Oscillatory Shepard method. - Qing Zhang, Zehao Chen, Jinguang Tong, Jing Zhang, Jie Hong, Xuesong Li:
Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance. - Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco:
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices. - Francesco Cauteruccio, Enrico Corradini, Luca Virgili:
Characterizing Information Shared by Participants to Coding Challenges: The Case of Advent of Code. - Yao Lyu, Xiangteng Zhang, Shengbo Eben Li, Jingliang Duan, Letian Tao, Qing Xu, Lei He, Keqiang Li:
Conformal Symplectic Optimization for Stable Reinforcement Learning. - Yasser Khalafaoui, Martino Lovisetto, Basarab Matei, Nistor Grozavu:
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems. - Zhenhui Li, Hongwei Zhang, Kan Wu:
Scalable Analysis of Urban Scaling Laws: Leveraging Cloud Computing to Analyze 21,280 Global Cities. - Fouad Trad, Ali Chehab:
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction. - Guang Wu, Yun Wang, Qian Zhou, Ziyang Zhang:
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions. - David Levin, José M. Ramón, Juan Ruiz-Alvarez, Dionisio F. Yáñez:
Data dependent Moving Least Squares. - Thomas Besnier, Emery Pierson, Sylvain Arguillere, Mohamed Daoudi:
Partial Non-rigid Deformations and interpolations of Human Body Surfaces. - Torine Reed Herstad, Jalal Kazempour, Lesia Mitridati, Bert Zwart:
Bidding in Ancillary Service Markets: An Analytical Approach Using Extreme Value Theory. - Njomza Pacolli, Ahmad Awad, Jannick Kehls, Bjorn Sauren, Sven Klinkel, Stefanie Reese, Hagen Holthusen:
An enhanced single Gaussian point continuum finite element formulation using automatic differentiation. - Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari:
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval. - Jiamian Hu, Yuanyuan Hong, Yihua Chen, He Wang, Moriaki Yasuhara:
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods. - Lingcong Cai, Yun Li, Xiaomao Fan, Kaixuan Song, Yongcheng Li, Yixuan Yuan, Ruxin Wang, Wenbin Lei:
LoCo: Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation. - Shivanagouda Biradar, Deepak U. Patil:
Topology Reconstruction of a Resistor Network with Limited Boundary Measurements: An Optimization Approach. - Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez Reina, Sergio L. Toral Marín:
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning. - Zedong Chu, Feng Xiong, Meiduo Liu, Jinzhi Zhang, Mingqi Shao, Zhaoxu Sun, Di Wang, Mu Xu:
HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset. - Chintan Jansari, Stéphane P. A. Bordas, Marco Montemurro, Elena Atroshchenko:
Design of thermal meta-structures made of functionally graded materials using isogeometric density-based topology optimization. - Xinjie Li, Yang Zhao, Dong Wang, Yuan Chen, Li Cao, Xiaoping Liu:
Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation. - Xi Cao, Dolma Dawa, Nuo Qun, Trashi Nyima:
Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script. - Yi Zeng, Jinwei Li, Hui Zhu, Shukuan Lu, Jianfeng Li, Xiran Cai:
Switchable deep beamformer for high-quality and real-time passive acoustic mapping. - Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia:
Efficient Model Compression Techniques with FishLeg. - Sofiane Azogagh, Zelma Aubin Birba, Josée Desharnais, Sébastien Gambs, Marc-Olivier Killijian, Nadia Tawbi:
GRAND : Graph Reconstruction from potential partial Adjacency and Neighborhood Data. - Mehmet Arda Eren, Erhan Oztop:
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks. - Sabina Martyniak, Joanna Kaleta, Diego Dall'Alba, Michal Naskret, Szymon Plotka, Przemyslaw Korzeniowski:
SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models. - Ziyang Cheng, Xiangyu Tian, Ruomin Sui, Tiemin Li, Yao Jiang:
An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors. - Zhenyu Li, Mykola Lavreniuk, Jian Shi, Shariq Farooq Bhat, Peter Wonka:
Amodal Depth Anything: Amodal Depth Estimation in the Wild. - Harish Srinivas, Graham Cormode, Mehrdad Honarkhah, Samuel Lurye, Jonathan Hehir, Lunwen He, George Hong, Ahmed Magdy, Dzmitry Huba, Kaikai Wang, Shen Guo, Shoubhik Bhattacharya:
Federated Analytics in Practice: Engineering for Privacy, Scalability and Practicality. - Xi Cao, Nuo Qun, Quzong Gesang, Yulei Zhu, Trashi Nyima:
Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model. - Seul-Ki Yeom, Tae-Ho Kim:
UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices. - Marco Casagrande, Daniele Antonioli:
CTRAPS: CTAP Client Impersonation and API Confusion on FIDO2. - Juhyung Choi, Jinnyeong Kim, Seokjun Choi, Jinwoo Lee, Samuel Brucker, Mario Bijelic, Felix Heide, Seung-Hwan Baek:
Dual Exposure Stereo for Extended Dynamic Range 3D Imaging. - Ethan Smith, Rami Seid, Alberto Hojel, Paramita Mishra, Jianbo Wu:
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization. - Ian Drosos, Jack Williams, Advait Sarkar, Nicholas Wilson:
Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks. - Kailing Wang, Chen Yang, Keyang Zhao, Xiaokang Yang, Wei Shen:
Realistic Surgical Simulation from Monocular Videos. - Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar, Naveed Akhtar:
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing. - Leixin Zhang, Steffen Eger, Yinjie Cheng, Weihe Zhai, Jonas Belouadi, Christoph Leiter, Simone Paolo Ponzetto, Fahimeh Moafian, Zhixue Zhao:
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? - Cedric Waterschoot, Ernst van den Hemel, Antal van den Bosch:
The Impact of Featuring Comments in Online Discussions. - Eerik Alamikkotervo, Henrik Toikka, Kari Tammi, Risto Ojala:
Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions. - Xi Cao, Quzong Gesang, Yuan Sun, Nuo Qun, Tashi Nyima:
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity. - Sergey Zinchenko, Sergey Iazov:
HERO: Hint-Based Efficient and Reliable Query Optimizer. - Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen:
Active Negative Loss: A Robust Framework for Learning with Noisy Labels. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
Flexible-Antenna Systems: A Pinching-Antenna Perspective. - Jorge Pérez, Jessica Díaz, Ángel González-Prieto, Sergio Gil-Borrás:
Theory building for empirical software engineering in qualitative research: Operationalization. - Blanca Lasheras-Hernandez, Klaus H. Strobl, Sergio Izquierdo, Tim Bodenmüller, Rudolph Triebel, Javier Civera:
Single-Shot Metric Depth from Focused Plenoptic Cameras. - Won Dong Shin, Hoang-Vu Phan, Monica A. Daley, Auke J. Ijspeert, Dario Floreano:
Fast ground-to-air transition with avian-inspired multifunctional legs. - Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane:
Hamiltonian Monte Carlo-Based Near-Optimal MIMO Signal Detection. - Martin Krízek, Matous Vrba, Antonella Barisic Kulas, Stjepan Bogdan, Martin Saska:
Bio-inspired visual relative localization for large swarms of UAVs. - Ziqian Zou, Conghao Wong, Beihao Xia, Qinmu Peng, Xinge You:
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction. - Harshit Bajpai, Gaurav Mittal, Ankik Kumar Giri:
Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent. - Adam Wróbel, Mikolaj Janusz, Bartosz Zielinski, Dawid Rymarczyk:
OMENN: One Matrix to Explain Neural Networks. - Houssam Razouk, Michael Leitner, Roman Kern:
Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis. - Changli Wu, Qi Chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji:
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation. - Valentin Braeutigam, Vanessa Wirth, Ingrid Ullmann, Christian Schüßler, Martin Vossiek, Matthias Berking, Bernhard Egger:
3D Face Reconstruction From Radar Images. - Shabnam Fazliani, Mohammad Mowlavi Sorond, Arsalan Masoudifard:
Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions. - Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Fang Liu, Xiaoli Lian, Yuming Ren, Jiaji Tian:
A Multi-Agent Framework for Extensible Structured Text Generation in PLCs. - Tom White:
VISTA: A Panoramic View of Neural Representations. - Jie Zou, Aixin Sun, Cheng Long, Evangelos Kanoulas:
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling. - Mingyi Shi, Dafei Qin, Leo Ho, Zhouyingcheng Liao, Yinghao Huang, Junichi Yamagishi, Taku Komura:
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model. - Dongwei Pan, Yang Li, Hongsheng Li, Kwan-Yee Lin:
TimeWalker: Personalized Neural Space for Lifelong Head Avatars. - Sebastian Hirt, Lukas Theiner, Rolf Findeisen:
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control. - Corentin Bonte, Arne Bouillon, Giovanni Samaey, Karl Meerbergen:
Efficient parallel inversion of ParaOpt preconditioners. - Sarah T. Bachinger, Christoph Unger, Robin Erd, Leila Feddoul, Clara Lachenmaier, Sina Zarrieß, Birgitta König-Ries:
GerPS-Compare: Comparing NER methods for legal norm analysis. - Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou:
Improved Localized Machine Unlearning Through the Lens of Memorization. - Hanjo D. Boekhout, Frank W. Takes:
Fast maximal clique enumeration in weighted temporal networks. - Haris Aziz, Patrick Lederer, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen:
Sequential Payment Rules: Approximately Fair Budget Divisions via Simple Spending Dynamics. - Jakob Huhle, Jakob Kaiser, Eric Müller, Johannes Schemmel:
Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference. - Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini, Yoav Levine, Or Sharir, Noam Wies, Ido Ben-Shaul, Tomer Nussbaum, Shir Granot Peled:
Artificial Expert Intelligence through PAC-reasoning. - Conghao Wong, Ziqian Zou, Beihao Xia, Xinge You:
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations. - Anqi Liang, Pengcheng Zhang, Bin Yao, Zhongpu Chen, Yitong Song, Guangxu Cheng:
UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search. - Chenguang Huang, Shengchao Yan, Wolfram Burgard:
BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding. - Madhav Neupane:
A Comprehensive Survey on Dynamic Software Updating Techniques in IoTs. - Zongru Wu, Pengzhou Cheng, Lingyong Fang, Zhuosheng Zhang, Gongshen Liu:
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining. - Khadija El Aadmi-Laamech, Patricia Santos, Davinia Hernández-Leo:
Leveraging User Experience and Learning Analytics for Enhanced Student Well-being. - Fatima Aboud, François Jauberteau, Didier Robert:
Numerical approaches to compute spectra of non-self adjoint operators in dimensions two and three. - Mohammed Q. Shormani:
Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths. - Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz:
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. - Haojie Wang, Zhe Zhang, Haotian Gao, Xiangying Zhang, Jingyuan Li, Zhihang Chen, Xinchong Chen, Yifei Qi, Yan Li, Renxiao Wang:
COMET:Combined Matrix for Elucidating Targets. - Yi-Xiang Lu, Xiao-Bo Jin, Jian Chen, Dong-Jie Liu, Guang-Gang Geng:
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information. - Caixin Kang, Yubo Chen, Shouwei Ruan, Shiji Zhao, Ruochen Zhang, Jiayi Wang, Shan Fu, Xingxing Wei:
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations. - Andreas C. Schneider, Valentin Neuhaus, David A. Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral:
What should a neuron aim for? Designing local objective functions based on information theory. - Ilter Onat Korkmaz, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin:
Vector Optimization with Gaussian Process Bandits. - Felix Bartel, Lutz Kämmerer, Kateryna Pozharska, Martin Schäfer, Tino Ullrich:
Exact discretization, tight frames and recovery via D-optimal designs. - Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson, Morteza Zadimoghaddam:
The Cost of Consistency: Submodular Maximization with Constant Recourse. - Qiankun Gao, Yanmin Wu, Chengxiang Wen, Jiarui Meng, Luyang Tang, Jie Chen, Ronggang Wang, Jian Zhang:
RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians. - Zhanghao Yu, Yiwei Zou, Huan-Cheng Liao, Fatima Alrashdan, Ziyuan Wen, Joshua E. Woods, Wei Wang, Jacob T. Robinson, Kaiyuan Yang:
A Miniature Batteryless Bioelectronic Implant Using One Magnetoelectric Transducer for Wireless Powering and PWM Backscatter Communication. - Hao Chen, Han Tao, Guo Song, Jie Zhang, Yunlong Yu, Yonghan Dong, Chuang Yang, Lei Bai:
CA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting. - Fabian Schmidt, Constantin Blessing, Markus Enzweiler, Abhinav Valada:
ROVER: A Multi-Season Dataset for Visual SLAM. - Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei:
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark. - Anestis Kaimakamidis, Ioannis Pitas:
FCL-ViT: Task-Aware Attention Tuning for Continual Learning. - Matteo Pistillo, Charlotte Stix:
Pre-Deployment Information Sharing: A Zoning Taxonomy for Precursory Capabilities. - Yaron Veksler, Sharon Hornstein, Han Wang, Maria Laura Delle Monache, Daniel Urieli:
Cooperative Cruising: Reinforcement Learning based Time-Headway Control for Increased Traffic Efficiency. - Hanyu Zhang, Chuck Arvin, Dmitry Efimov, Michael W. Mahoney, Dominique Perrault-Joncas, Shankar Ramasubramanian, Andrew Gordon Wilson, Malcolm Wolff:
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data. - Haoran Xiong, Guanghui Wang, Zhiming Ma, Guiying Yan:
On the lifting degree of girth-8 QC-LDPC codes. - Kelly Van Busum, Shiaofen Fang:
Bias Analysis of AI Models for Undergraduate Student Admissions. - Dongya Sun, Yunfei Hu, Xianzhe Zhang, Yingsong Hu:
WEM-GAN: Wavelet transform based facial expression manipulation. - Jinjin Cai, Kexin Meng, Baijian Yang, Gang Shao:
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks. - Jan Quenzel, Linus T. Mallwitz, Benedikt T. Arnold, Sven Behnke:
LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps. - Nicolás García Trillos, Aditya Kumar Akash, Sixu Li, Konstantin Riedl, Yuhua Zhu:
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization. - Zhaohui Yang, Wei Xu, Le Liang, Yuanhao Cui, Zhijin Qin, Merouane Debbah:
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM). - Reek Majumder, Gurcan Comert, David Werth, Adrian Gale, Mashrur Chowdhury, M. Sabbir Salek:
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles. - Junhai Yang, Fenghua Li, Yixuan Zhang, Junhao Zhang, Liang Fang, Yunchuan Guo:
Automatic State Machine Inference for Binary Protocol Reverse Engineering. - Quang H. Nguyen, Hoang Phan, Khoa D. Doan:
Unveiling Concept Attribution in Diffusion Models. - Jin Hu, Mingjia Li, Xiaojie Guo:
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer. - Andrei Lixandru, Marcel van Gerven, Sergio Pequito:
Fractional Order Distributed Optimization. - Tong Zhou:
Interaction Identification of a Heterogeneous NDS with Quadratic-Bilinear Subsystems. - Lekang Jiang, Pascal A Scherz, Stephan Goetz:
Patent-CR: A Dataset for Patent Claim Revision. - David M. Williams, Mathijs Wintraecken:
Quasi-optimal interpolation of gradients and vector-fields on protected Delaunay meshes in ℝd. - Oliver Chubet, Don Sheehy, Siddharth Sheth:
Simple Construction of Greedy Trees and Greedy Permutations. - David M. Williams, Hiroaki Nishikawa:
Properties of median-dual regions on triangulations in ℝ4 with extensions to higher dimensions. - Haitao Xu, Jingru Zhang:
The Two-Center Problem of Uncertain Points on Cactus Graphs. - Joel Suro:
Semantic Tokens in Retrieval Augmented Generation. - Joongwon Chae, Zhenyu Wang, Peiwu Qin:
SJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detection. - Joris Sijs, Carlos Hernandez-Corbato, Willeke van Vught, Julio Oliveira:
Can I do it. - Gokul Puthumanaillam, Jae Hyuk Song, Nurzhan Yesmagambet, Shinkyu Park, Melkior Ornik:
TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning. - Chenyang Liu, Jiafan Zhang, Keyan Chen, Man Wang, Zhengxia Zou, Zhenwei Shi:
Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey. - Trung-Hieu Nguyen, Truong-Giang Vuong, Hong-Nam Duong, Son Nguyen, Hieu Dinh Vo, Toshiaki Aoki, Thu-Trang Nguyen:
Generating Critical Scenarios for Testing Automated Driving Systems. - Ze Zhang, Enyuan Zhao, Ziyi Wan, Jie Nie, Xinyue Liang, Lei Huang:
Copy-Move Forgery Detection and Question Answering for Remote Sensing Image. - Qilong Wu, Varun Chandrasekaran:
The Efficacy of Transfer-based No-box Attacks on Image Watermarking: A Pragmatic Analysis. - Hillary Yang:
Private Linear Regression with Differential Privacy and PAC Privacy. - Scott Garrabrant, Matthias Georg Mayer, Magdalena Wache, Leon Lang, Sam Eisenstat, Holger Dell:
Factored space models: Towards causality between levels of abstraction. - Haitao Xu, Jingru Zhang:
The Two-Center Problem of Uncertain Points on Trees. - Ziheng Liu, Jiayi Zhang, Yiyang Zhu, Enyu Shi, Bo Ai:
Mobile Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning: A Scalable Framework. - Oleksandr Kurbatov, Kyrylo Riabov, Mykhailo Velykodnyi:
Atlantis Protocol. - Zhongshuo Lin, Yifan Wang, Hehu Xie:
Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy. - Xiaohan Yu, Li Zhang, Chong Chen:
Explainable CTR Prediction via LLM Reasoning. - Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier, Hieu Le, Pascal Fua:
MedTet: An Online Motion Model for 4D Heart Reconstruction. - Junyuan Zhang, Qintong Zhang, Bin Wang, Linke Ouyang, Zichen Wen, Ying Li, Ka-Ho Chow, Conghui He, Wentao Zhang:
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation. - Weihua Xiao, Venkata Sai Charan Putrevu, Raghu Vamshi Hemadri, Siddharth Garg, Ramesh Karri:
PrefixLLM: LLM-aided Prefix Circuit Design. - Dan Su, Kezhi Kong, Ying Lin, Joseph Jennings, Brandon Norick, Markus Kliegl, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset. - Jacob Marks, Brent A. Griffin, Jason J. Corso:
Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes. - Salman Ahmadi-Asl, Naeim Rezaeian, Andre L. F. de Almeida, Yipeng Liu:
Randomized algorithms for Kroncecker tensor decomposition and applications. - Salman Ahmadi-Asl, Naeim Rezaeian, Cesar F. Caiafa, Andre L. F. de Almeidad:
Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications to Image Compression, Super-Resolution and Deep Learning. - Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen:
MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images. - Abhas Kumar, Kapil Pathak, Rajesh Kavuru, Prabhakar Srinivasan:
CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMs. - Bo Yuan, Jiazi Hu:
Generative AI as a Tool for Enhancing Reflective Learning in Students. - Emmanouil Kariotakis, Nikolaos Sidiropoulos, Aritra Konar:
Fairness-Regulated Dense Subgraph Discovery. - Marco Molinari, Victor Shao, Vladimir Tregubiak, Abhimanyu Pandey, Mateusz Mikolajczak, Sebastian Kuznetsov Ryder Torres Pereira:
Interpretable Company Similarity with Sparse Autoencoders. - Saurab Chhachhi, Fei Teng:
Wasserstein Markets for Differentially-Private Data. - Biman Barua, M. Shamim Kaiser:
AI-Driven Resource Allocation Framework for Microservices in Hybrid Cloud Platforms. - Kaixiong Gong, Kaituo Feng, Bohao Li, Yibing Wang, Mofan Cheng, Shijia Yang, Jiaming Han, Benyou Wang, Yutong Bai, Zhuoran Yang, Xiangyu Yue:
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? - Aohan Zeng, Zhengxiao Du, Mingdao Liu, Kedong Wang, Shengmin Jiang, Lei Zhao, Yuxiao Dong, Jie Tang:
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot. - Gabriele Giudici, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Lorenzo Jamone:
Haptic Stiffness Perception Using Hand Exoskeletons in Tactile Robotic Telemanipulation. - Giuseppe Canonaco, Alberto Pozanco, Daniel Borrajo:
Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs. - Hiroki Furuta, Heiga Zen, Dale Schuurmans, Aleksandra Faust, Yutaka Matsuo, Percy Liang, Sherry Yang:
Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback. - Olga Martynova, Alexander Okhotin:
Nondeterministic tree-walking automata are not closed under complementation. - Hartmut Schmidt, Andreas Grübl, José Montes, Eric Müller, Sebastian Schmitt, Johannes Schemmel:
Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware. - Kai Sun, Siyan Xue, Fuchun Sun, Haoran Sun, Yu Luo, Ling Wang, Siyuan Wang, Na Guo, Lei Liu, Tian Zhao, Xinzhou Wang, Lei Yang, Shuo Jin, Jun Yan, Jiahong Dong:
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions. - Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Time-Reversal Provides Unsupervised Feedback to LLMs. - Annie N. Wang, Luchao Qi, Roni Sengupta:
Continual Learning of Personalized Generative Face Models with Experience Replay. - Yiftach Edelstein, Or Patashnik, Dana Cohen-Bar, Lihi Zelnik-Manor:
Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation. - Jiangtao Wang, Zhen Qin, Yifan Zhang, Vincent Tao Hu, Björn Ommer, Rania Briq, Stefan Kesselheim:
Scaling Image Tokenizers with Grouped Spherical Quantization. - James Austgen, Andrés Fábrega, Mahimna Kelkar, Dani Vilardell, Sarah Allen, Kushal Babel, Jay Yu, Ari Juels:
Liquefaction: Privately Liquefying Blockchain Assets. - Tianyu Wang, Jianming Zhang, Haitian Zheng, Zhihong Ding, Scott Cohen, Zhe L. Lin, Wei Xiong, Chi-Wing Fu, Luis Figueroa, Soo Ye Kim:
MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis. - Dani Roytburg, Deborah Olorunisola, Sandeep Soni, Lauren F. Klein:
Words and Action: Modeling Linguistic Leadership in #BlackLivesMatter Communities. - Ramesh Manuvinakurike, Elizabeth Watkins, Celal Savur, Anthony Rhodes, Sovan Biswas, Gesem Gudino Mejia, Richard Beckwith, Saurav Sahay, Giuseppe Raffa, Lama Nachman:
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing. - Gregory Dexter, Petros Drineas, Rajiv Khanna:
The Space Complexity of Approximating Logistic Loss. - Goki Muramoto, Yuri Yasui, Hirosuke Asahi:
SEMANTIC SEE-THROUGH GOGGLES: Wearing Linguistic Virtual Reality in (Artificial) Intelligence. - Jiale Feng, Samuel W. Blair, Timilehin Ayanlade, Aditya Balu, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar, Asheesh Kumar Singh:
Robust soybean seed yield estimation using high-throughput ground robot videos. - R. R. Samani, Alfredo Núñez, Bart De Schutter:
A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response. - Gabriele Giudici, Aramis Augusto Bonzini, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Lorenzo Jamone:
Leveraging Tactile Sensing to Render both Haptic Feedback and Virtual Reality 3D Object Reconstruction in Robotic Telemanipulation. - Hayden McTavish, Jon Donnelly, Margo I. Seltzer, Cynthia Rudin:
Interpretable Generalized Additive Models for Datasets with Missing Values. - P. Vijay Kumar, Sugandh Mishra, Dileep Dharmappa:
Quaternary and Component-Binary Spreading Codes with Low Correlation for Navigation Systems. - Molly Carton, Jakub F. Kowalewski, Jiani Guo, Jacob F. Alpert, Aman Garg, Daniel Revier, Jeffrey Ian Lipton:
Bridging Hard and Soft: Mechanical Metamaterials Enable Rigid Torque Transmission in Soft Robots. - Pranav Doma, Aliasghar Arab, Xuesu Xiao:
LLM-Enhanced Path Planning: Safe and Efficient Autonomous Navigation with Instructional Inputs. - Zeynab Kaseb, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky:
Adaptive Informed Deep Neural Networks for Power Flow Analysis. - Shuwen Chai, Miklós Z. Rácz:
Efficient Graph Matching for Correlated Stochastic Block Models. - A. C. Cem Say, M. Utkan Gezer:
Unconditional proofs of quantumness between small-space machines. - Diego R. Amancio, Jeaneth Machicao, Laura V. C. Quispe:
Probing the statistical properties of enriched co-occurrence networks. - Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai:
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. - Xuanlin Li, Tong Zhao, Xinghao Zhu, Jiuguang Wang, Tao Pang, Kuan Fang:
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation. - Álvaro Rodríguez Abella, João Pedro Silvestre, Paulo Tabuada:
The Asymptotic Behavior of Attention in Transformers. - Lingteng Qiu, Shenhao Zhu, Qi Zuo, Xiaodong Gu, Yuan Dong, Junfei Zhang, Chao Xu, Zhe Li, Weihao Yuan, Liefeng Bo, Guanying Chen, Zilong Dong:
AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction. - Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng:
T-REG: Preference Optimization with Token-Level Reward Regularization. - Viet Nguyen, Anh Nguyen, Trung Tuan Dao, Khoi Nguyen, Cuong Pham, Toan Tran, Anh Tran:
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance. - Yupeng Zheng, Zhongpu Xia, Qichao Zhang, Teng Zhang, Ben Lu, Xiaochuang Huo, Chao Han, Yixian Li, Mengjie Yu, Bu Jin, Pengxuan Yang, Yuhang Zheng, Haifeng Yuan, Ke Jiang, Peng Jia, Xianpeng Lang, Dongbin Zhao:
Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. - Kefan Chen, Chaerin Min, Linguang Zhang, Shreyas Hampali, Cem Keskin, Srinath Sridhar:
FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation. - Fengyuan Shi, Zhuoyan Luo, Yixiao Ge, Yujiu Yang, Ying Shan, Limin Wang:
Taming Scalable Visual Tokenizer for Autoregressive Image Generation. - Zhiyuan Xu, Yinhe Chen, Huan-ang Gao, Weiyan Zhao, Guiyu Zhang, Hao Zhao:
Diffusion-based Visual Anagram as Multi-task Learning. - Medha Pappula, Syed Muhammad Anwar:
An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques. - Abdulkader Saoud, Mahmut Alomeyr, Himmet Toprak Kesgin, Mehmet Fatih Amasyali:
Scaling BERT Models for Turkish Automatic Punctuation and Capitalization Correction. - Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo:
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. - Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Carl Doersch, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun:
Motion Prompting: Controlling Video Generation with Motion Trajectories. - Pranav Rajbhandari, Karthick Dhileep, Sridhar Ravi, Donald Sofge:
Fine Tuning Swimming Locomotion Learned from Mosquito Larvae. - Chengkai Wang, Weiqing Ji, Mingyang Kou, Zhiyang Chen, Fei Li, Hailong Yao:
Mr.TPL: A Method for Multi-Pin Net Router in Triple Patterning Lithography. - Faisal N. Abu-Khzam, Lucas Isenmann, Sergio Thoumi:
Correlation Clustering with Overlap: a Heuristic Graph Editing Approach. - Lukas Peter Wagner, Lasse Matthias Reinpold, Maximilian Kilthau, Felix Gehlhoff, Christian Derksen, Nils Loose, Julian Jepsen, Alexander Fay:
Nutzung von Massespeichern zur Flexibilisierung des Energieverbrauchs: Kosteneffizienter Anlagenbetrieb durch Anpassung an Marktpreise. - Jiaqi Yao, Lewis Mitchell:
Community Detection of Complex Network Based on Graph Convolution Iterative Algorithm. - Hazem Ibrahim, Farhan Khan, Hend Alabdouli, Maryam Almatrooshi, Tran Nguyen, Talal Rahwan, Yasir Zaki:
Analyzing political stances on Twitter in the lead-up to the 2024 U.S. election. - Alona Strugatski, Giora Alexandron:
Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. - Mateusz Kasprzyk, Pawel Pelka, Boris N. Oreshkin, Grzegorz Dudek:
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting. - Daniel Seal, Rossella Arcucci, Salva Rühling Cachay, César A. Quilodrán Casas:
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America. - Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse Marshall:
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation. - Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann:
Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems. - Mariano-Florentino Cuellar, Jeff Dean, Finale Doshi-Velez, John L. Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David A. Patterson:
Shaping AI's Impact on Billions of Lives. - Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arevalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno:
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Zhaofeng Hu, Sifan Zhou, Shibo Zhao, Zhihang Yuan:
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues. - Vaishnavi Bhargava, Rajat Ghosh, Debojyoti Dutta:
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++? - Zhaozhi Wang, Conghu Li, Qixiang Ye, Tong Zhang:
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning. - Ahmed Zeer, Eren Dogan, Yusuf Sait Erdem, Elif Ince, Osama Shbib, M. Egemen Uzun, Atahan Uz, Muzaffer Kaan Yuce, H. Toprak Kesgin, Mehmet Fatih Amasyali:
Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek. - Timur Galimzyanov, Sergey Titov, Yaroslav Golubev, Egor Bogomolov:
Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code. - Jürgen Nicklisch-Franken, Ruslan Feizerakhmanov:
Massimult: A Novel Parallel CPU Architecture Based on Combinator Reduction. - Khashayar Ghanizadegan, Hashim A. Hashim:
Quaternion-based Unscented Kalman Filter for 6-DoF Vision-based Inertial Navigation in GPS-denied Regions. - Julianne Chung, Scot M. Miller, Malena Sabate Landman, Arvind K. Saibaba:
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation. - H. Toprak Kesgin, Muzaffer Kaan Yuce, Eren Dogan, M. Egemen Uzun, Atahan Uz, Elif Ince, Yusuf Erdem, Osama Shbib, Ahmed Zeer, Mehmet Fatih Amasyali:
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training. - Rustem Turtayev, Artem Petrov, Dmitrii Volkov, Denis Volk:
Hacking CTFs with Plain Agents. - Nanyang Ye, Qiao Sun, Yifei Wang, Liujia Yang, Jundong Zhou, Lei Wang, Guang-Zhong Yang, Xinbing Wang, Chenghu Zhou, Wei Ren, Leilei Gu, Huaqiang Wu, Qinying Gu:
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing. - Rajat Shinde, Christopher Phillips, Kumar Ankur, Aman Gupta, Simon Pfreundschuh, Sujit Roy, Sheyenne Kirkland, Vishal Gaur, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Manil Maskey, Rahul Ramachandran:
WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks. - Nabin Khanal, Chun Meng Yu, Jui-Cheng Chiu, Anav Chaudhary, Ziyue Zhang, Kakani Katija, Angus G. Forbes:
FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data. - Tilahun Abedissa Taffa, Debayan Banerjee, Yaregal Assabie, Ricardo Usbeck:
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset. - Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa:
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. - Abdennour Boulesnane, Abdelhakim Souilah:
An Evolutionary Large Language Model for Hallucination Mitigation. - Alex Depoutovitch, Chong Chen, Jin Chen, Paul Larson, Shu Lin, Jack Ng, Wenlin Cui, Qiang Liu, Wei Huang, Yong Xiao, Yongjun He:
Taurus Database: How to be Fast, Available, and Frugal in the Cloud. - Zijiao Yang, Xiangxi Shi, Eric Slyman, Stefan Lee:
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks. - V. Temlyakov:
Some lower bounds for optimal sampling recovery of functions with mixed smoothness. - Dean Hazineh, Federico Capasso, Todd E. Zickler:
Grayscale to Hyperspectral at Any Resolution Using a Phase-Only Lens. - Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello:
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression. - Jingyuan Yi, Peiyang Yu, Tianyi Huang, Zeqiu Xu:
Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm. - María Victoria Carro:
Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model. - Abdurrahman Zeybey, Mehmet Ergezer, Tommy Nguyen:
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects. - Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta:
STORM: Strategic Orchestration of Modalities for Rare Event Classification. - Ruikun Zhou, Yiming Meng, Zhexuan Zeng, Jun Liu:
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems. - Raphael Ruschel, Md Awsafur Rahman, Hardik Prajapati, Suya You, B. S. Manjuanth:
Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation. - Bingsheng Chen, Dakota Murray, Yixuan Liu, Albert-László Barabási:
The origin, consequence, and visibility of criticism in science. - Md. Omar Faruque, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy:
Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design. - Som Sagar, Ransalu Senanayake:
RoboFail: Analyzing Failures in Robot Learning Policies. - Lingxiao Wei, He Yan, Xiangju Lu, Junmin Zhu, Jun Wang, Wei Zhang:
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels. - Leroy Z. Wang, R. Thomas McCoy, Shane Steinert-Threlkeld:
Minimization of Boolean Complexity in In-Context Concept Learning. - Hao Wang, Wenhui Zhu, Xuanzhao Dong, Yanxi Chen, Xin Li, Peijie Qiu, Xiwen Chen, Vamsi Krishna Vasa, Yujian Xiong, Oana M. Dumitrascu, Abolfazl Razi, Yalin Wang:
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification. - Ran Hu, Divy H. Kanani, Jingru Zhang:
Computing the Center of Uncertain Points on Cactus Graphs. - Hieu Tran, Zonghai Yao, Junda Wang, Yifan Zhang, Zhichao Yang, Hong Yu:
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. - Bryce Hopkins, Leo O'Neill, Michael Marinaccio, Eric Rowell, Russell Parsons, Sarah Flanary, Irtija Nazim, Carl Seielstad, Fatemeh Afghah:
FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management. - William Franz Lamberti:
Artificial Intelligence Policy Framework for Institutions. - Igor Halperin:
CAISSON: Concept-Augmented Inference Suite of Self-Organizing Neural Networks. - Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo:
Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. - Xiangyu Jiang, Xiwen Chen, Hao Wang, Abolfazl Razi:
Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention. - Monika Henzinger, Jalaj Upadhyay:
Improved Differentially Private Continual Observation Using Group Algebra. - Ido Nachum, Marco Bondaschi, Michael Gastpar, Anatoly Khina:
Batch Normalization Decomposed. - Muhammad Zawad Mahmud, Samiha Islam, Shahran Rahman Alve, Al Jubayer Pial:
Optimized IoT Intrusion Detection using Machine Learning Technique. - Oliver Simonoski, Dijana Capeska Bogatinoska:
Block MedCare: Advancing healthcare through blockchain integration with AI and IoT. - Yang Zhang, Er Jin, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier, Kenji Kawaguchi:
Effortless Efficiency: Low-Cost Pruning of Diffusion Models. - Hanbing Wang, Junyan Du, Yue Li, Lie Zhang, Xiang Li:
Grand Challenges in Immersive Technologies for Cultural Heritage. - Tianyi Lyu, Dian Gu, Peiyuan Chen, Yaoting Jiang, Zhenhong Zhang, Huadong Pang, Li Zhou, Yiping Dong:
Optimized CNNs for Rapid 3D Point Cloud Object Recognition. - Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko:
Is Large-Scale Pretraining the Secret to Good Domain Generalization? - Youssef Mansour, Reinhard Heckel:
Measuring Bias of Web-filtered Text Datasets and Bias Propagation Through Training. - Mohammad Hossein Sarkhosh, Mohammad Hassan Dabirzadeh, Mohamad Ali Bijarchi, Hossein Nejat Pishkenari:
Novel Magnetic Actuation Strategies for Precise Ferrofluid Marble Manipulation in Magnetic Digital Microfluidics: Position Control and Applications. - Lucas Nogueira Nobrega, Ewerton Lopes Silva de Oliveira, Martin Saska, Tiago P. Nascimento:
Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains. - Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel Vrain:
Memory-efficient Continual Learning with Neural Collapse Contrastive. - Cynthia Marcelino, Jack Shahhoud, Stefan Nastic:
GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. - Yixiang Qu, Yifan Dai, Shilin Yu, Pradham Tanikella, Travis Schrank, Trevor Hackman, Didong Li, Di Wu:
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications. - Yizuo Chen, Adnan Darwiche:
Constrained Identifiability of Causal Effects. - Alin Dondera, Anuj Singh, Hadi Jamali Rad:
MAGMA: Manifold Regularization for MAEs. - Davi Henrique dos Santos, Martin Saska, Tiago P. Nascimento:
A Generalized Thrust Estimation and Control Approach for Multirotors Micro Aerial Vehicles. - Ankita Samaddar, Nicholas Potteiger, Xenofon D. Koutsoukos:
Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents. - Yizuo Chen, Amit Bhatia:
Modeling and Discovering Direct Causes for Predictive Models. - Maria A. Cardei, Sabit Ahmed, Gretchen Chapman, Afsaneh Doryab:
Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis. - Thulio Guilherme Silva De Amorim, Tiago P. Nascimento, Akash Chaudhary, Eliseo Ferrante, Martin Saska:
A Minimalistic 3D Self-Organized UAV Flocking Approach for Desert Exploration. - Giulio Benedetti, Ely Seraidarian, Theotime Pralas, Akewak Jeba, Tuomas Borman, Leo Lahti:
iSEEtree: interactive explorer for hierarchical data. - Toufique Ahmed, Martin Hirzel, Rangeet Pan, Avraham Shinnar, Saurabh Sinha:
TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? - Emin Kirimlioglu, Harrison Kung, Dominic Orlando:
Were You Helpful - Predicting Helpful Votes from Amazon Reviews. - Roman Colman, Minh Vu, Manish Bhattarai, Martin Ma, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos:
Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty. - Ajay N. Jain, Ann E. Cleves, W. Patrick Walters:
Deep-Learning Based Docking Methods: Fair Comparisons to Conventional Docking Workflows. - Dmitrii Torbunov, Yihui Ren, Animesh Ghose, Odera Dim, Yonggang Cui:
EvRT-DETR: The Surprising Effectiveness of DETR-based Detection for Event Cameras. - Zekun Chang, Yuta Noma, Shuo Feng, Xinyi Yang, Kazuhiro Shinoda, Tung D. Ta, Koji Yatani, Tomoyuki Yokota, Takao Someya, Yoshihiro Kawahara, Koya Narumi, François Guimbretière, Thijs Roumen:
OriStitch: A Machine Embroidery Workflow to Turn Existing Fabrics into Self-Folding 3D Textiles. - Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan, Payman Arabshahi, David Heckerman:
Removing Spurious Correlation from Neural Network Interpretations. - Omar Rodríguez-Abreo, José Luis Aragón, Mario Alan Quiroz-Juárez:
Reconstruction of dynamic systems using genetic algorithms with dynamic search limits. - Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh:
GUESS: Generative Uncertainty Ensemble for Self Supervision. - Jinming Zhang, Yunfei Long:
MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions. - Hanzhe Teng, Yipeng Wang, Dimitrios Chatziparaschis, Konstantinos Karydis:
Adaptive LiDAR Odometry and Mapping for Autonomous Agricultural Mobile Robots in Unmanned Farms. - Shibo Zhao, Honghao Zhu, Yuanjun Gao, Beomsoo Kim, Yuheng Qiu, Aaron M. Johnson, Sebastian A. Scherer:
SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks. - María Escobar, Juanita Puentes, Cristhian Forigua, Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Pablo Arbeláez:
EgoCast: Forecasting Egocentric Human Pose in the Wild. - Ranganath Krishnan, Piyush Khanna, Omesh Tickoo:
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning. - Changjian Zhang, Parv Kapoor, Ian Dardik, Leyi Cui, Romulo Meira Goes, David Garlan, Eunsuk Kang:
Constrained LTL Specification Learning from Examples. - Derek Xu, Tong Xie, Botao Xia, Haoyu Li, Yunsheng Bai, Yizhou Sun, Wei Wang:
Does Few-Shot Learning Help LLM Performance in Code Synthesis? - Md. Ahasanuzzaman, Gustavo Ansaldi Oliva, Ahmed E. Hassan, Zhen Ming Jiang:
Predicting post-release defects with knowledge units (KUs) of programming languages: an empirical study. - Xinchen Yu, Hayden Arnold, Benjamin Su, Eduardo Blanco:
Measuring and Forecasting Conversation Incivility: the Role of Antisocial and Prosocial Behaviors. - Dmitry Petrov, Pradyumn Goyal, Divyansh Shivashok, Yuanming Tao, Melinos Averkiou, Evangelos Kalogerakis:
ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts. - Junhao Liu, Siwei Xu, Lei Zhang, Jing Zhang:
Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data. - Soroush Omranpour, Guillaume Rabusseau, Reihaneh Rabbany:
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data. - Indu Kant Deo, Rajeev Jaiman:
Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks. - Yinghan Long, Kaushik Roy:
Panoptic Diffusion Models: co-generation of images and segmentation maps. - Fawad Javed Fateh, Umer Ahmed, Hamza Khan, M. Zeeshan Zia, Quoc-Huy Tran:
Video LLMs for Temporal Reasoning in Long Videos. - Simon Sinong Zhan, Qingyuan Wu, Zhian Ruan, Frank Yang, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu:
Inverse Delayed Reinforcement Learning. - Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun Chen, Yang Wang:
PopSweeper: Automatically Detecting and Resolving App-Blocking Pop-Ups to Assist Automated Mobile GUI Testing. - Xianzhi Zhang, Yipeng Zhou, Miao Hu, Di Wu, Pengshan Liao, Mohsen Guizani, Michael Sheng:
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation. - Yuntao Shou, Tao Meng, Wei Ai, Keqin Li:
Dynamic Graph Neural Ordinary Differential Equation Network for Multi-modal Emotion Recognition in Conversation. - Vignesh Sivaramakrishnan, Krishna Chaitanya Kalagarla, Rosalyn A. Devonport, Joshua Pilipovsky, Panagiotis Tsiotras, Meeko Oishi:
SAVER: A Toolbox for Sampling-Based, Probabilistic Verification of Neural Networks. - Silu He, Peng Shen, Pingzhen Xu, Qinyao Luo, Haifeng Li:
STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction. - Zixin Jiang, Bing Dong:
Modularized Neural Network Incorporating Physical Priors for Smart Building Control, Accuracy or Consistency? - Po-Hsuan Huang, Jeng-Lin Li, Chin-Po Chen, Ming-Ching Chang, Wei-Chao Chen:
Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis. - Abdelhak Bougouffa, Emmanuel Seignez, Samir Bouaziz, Florian Gardes:
An indoor DSO-based ceiling-vision odometry system for indoor industrial environments. - Weisi Fan, Jesse Lane, Qisai Liu, Soumik Sarkar, Tichakorn Wongpiromsarn:
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning. - Sungjin Lim, Illés Vörös, Yongseob Lim, Gábor Orosz:
The effects of four-wheel steering on the path-tracking control of automated vehicles. - Kaidi Jia, Yanxia Wu, Rongsheng Li:
Curriculum-style Data Augmentation for LLM-based Metaphor Detection. - Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park:
3D Interaction Geometric Pre-training for Molecular Relational Learning. - Jiahua Xiao, Jiawei Zhang, Dongqing Zou, Xiaodan Zhang, Jimmy S. J. Ren, Xing Wei:
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution. - XiuYu Zhang, Zening Luo, Michelle E. Lu:
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference. - Christopher Homan, Flip Korn, Chris Welty:
How Many Ratings per Item are Necessary for Reliable Significance Testing? - Arnold Caleb Asiimwe, Dídac Surís, Pranav Rajpurkar, Carl Vondrick:
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting. - Jane Hsieh, Angie Zhang, Mialy Rasetarinera, Erik Chou, Daniel Ngo, Karen Lightman, Min Kyung Lee, Haiyi Zhu:
Supporting Gig Worker Needs and Advancing Policy Through Worker-Centered Data-Sharing. - Lijie Chen, Binghui Peng, Hongxun Wu:
Theoretical limitations of multi-layer Transformer. - Yongcheng Li, Lingcong Cai, Ying Lu, Xianghua Fu, Xiao Han, Ma Li, Wenxing Lai, Xiangzhong Zhang, Xiaomao Fan:
Stain-aware Domain Alignment for Imbalance Blood Cell Classification. - Qing Zhang, Hang Guo, Siyuan Yang, Qingli Li, Yan Wang:
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch. - Alex Havrilla, Andrew Dai, Laura O'Mahony, Koen Oostermeijer, Vera Zisler, Alon Albalak, Fabrizio Milo, Sharath Chandra Raparthy, Kanishk Gandhi, Baber Abbasi, Duy Phung, Maia Iyer, Dakota Mahan, Chase Blagden, Srishti Gureja, Mohammed Hamdy, Wen-Ding Li, Giovanni Paolini, Pawan Sasanka Ammanamanchi, Elliot Meyerson:
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. - Song Tang, Chunxiao Zu, Wenxin Su, Yuan Dong, Mao Ye, Yan Gan, Xiatian Zhu:
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype. - Shibo Han, Yuhao Zhang, Xiaotong Shi, Xingwei Zhao:
Robust Model Predictive Control for Constrained Uncertain Systems Based on Concentric Container and Varying Tube. - XiuYu Zhang, Zening Luo:
Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models. - Jiongtong Hu, Wei Zhuo, Jun Cheng, Yingying Liu, Wufeng Xue, Dong Ni:
EchoONE: Segmenting Multiple echocardiography Planes in One Model. - XiuYu Zhang, Xiaolei Ye, Jui-Che Chang, Yue Fang:
CLAS: A Machine Learning Enhanced Framework for Exploring Large 3D Design Datasets. - Ji Wu, Huai Yu, Shu Han, Xi-Meng Cai, Ming-Feng Wang, Wen Yang, Gui-Song Xia:
QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitives. - Shouwei Ruan, Hanqing Liu, Yao Huang, Xiaoqi Wang, Caixin Kang, Hang Su, Yinpeng Dong, Xingxing Wei:
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? - Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He:
Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs. - Jahid Hasan, Romila Pradhan:
Data Acquisition for Improving Model Fairness using Reinforcement Learning. - Yu Feng, Shunsi Zhang, Jian Shu, Hanfeng Zhao, Guoliang Pang, Chi Zhang, Hao Wang:
Human Multi-View Synthesis from a Single-View Model:Transferred Body and Face Representations. - Kaiwen Jiang, Zhen Fu, Junde Guo, Wei Zhang, Hua Chen:
Learning Whole-Body Loco-Manipulation for Omni-Directional Task Space Pose Tracking with a Wheeled-Quadrupedal-Manipulator. - Zhiqiu Chen, Zong-Gan Chen, Yuncheng Jiang, Zhi-Hui Zhan:
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems. - Jiaxi Yu, Tomohiro Fukuda, Nobuyoshi Yabuki:
Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images. - Lingchen Sun, Rongyuan Wu, Zhiyuan Ma, Shuai Liu, Qiaosi Yi, Lei Zhang:
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach. - Huijiao Wang, Shenghao Zhao, Lei Yu, Xulei Yang:
Unsupervised Network for Single Image Raindrop Removal. - Tianyu Chang, Xiaohao Chen, Zhichao Wei, Xuanpu Zhang, Qing-Guo Chen, Weihua Luo, Xun Yang:
PEMF-VVTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm. - Cebajel Tanan, Sameer G. Kulkarni, Tamal Das, Manjesh K. Hanawal:
A Multi-Functional Web Tool for Comprehensive Threat Detection Through IP Address Analysis. - Jinghan Xu, Zhiyuan Li:
Broadcast Graph Is NP-complete. - Sergio E. Zanotto, Segun Aroyehun:
Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models. - Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics. - Isha Chaudhary, Shuyi Lin, Cheng Tan, Gagandeep Singh:
Specification Generation for Neural Networks in Systems. - Shahidullah Kaiser, Ali Saman Tosun, Turgay Korkmaz:
Exploring the Viability of Unikernels for ARM-powered Edge Computing. - Shahidullah Kaiser, Ali Saman Tosun, Turgay Korkmaz:
Edge System Design Using Containers and Unikernels for IoT Applications. - Aditya Shah, Aditya Challa, Sravan Danda, Archana Mathur, Snehanshu Saha:
A Granger-Causal Perspective on Gradient Descent with Application to Pruning. - Jay Tharwani, Arnab A Purkayastha:
Cost-Performance Evaluation of General Compute Instances: AWS, Azure, GCP, and OCI. - Xiaofeng Tan, Hongsong Wang, Xin Geng:
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection. - Yuchen Sun, Anup Teejo Mathew, Imran Afgan, Federico Renda, Cecilia Laschi:
Real-time Dynamics of Soft Manipulators with Cross-section Inflation: Application to the Octopus Muscular Hydrostat. - Shivanagouda Biradar, Deepak U. Patil:
Topology Reconstruction of a Class of Electrical Networks with Limited Boundary Measurements. - Junchao Fan, Xuyang Lei, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic:
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies. - Md. Meraz, Md Afzal Ansari, Mohammed Javed, Pavan Chakraborty:
Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation. - Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong:
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception. - Marzieh Mohammadi, Amir Salarpour:
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification. - Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen:
Revisiting Energy-Based Model for Out-of-Distribution Detection. - Runjian Chen, Hang Zhang, Avinash Ravichandran, Wenqi Shao, Alex Wong, Ping Luo:
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning. - Kazuki Kotoyori, Shota Hirose, Heming Sun, Jiro Katto:
Lightweight Stochastic Video Prediction via Hybrid Warping. - Ruixu Geng, Jianyang Wang, Yuqin Yuan, Fengquan Zhan, Tianyu Zhang, Rui Zhang, Pengcheng Huang, Dongheng Zhang, Jinbo Chen, Yang Hu, Yan Chen:
A Survey of Wireless Sensing Security from a Role-Based View: Victim, Weapon, and Shield. - Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu:
UTSD: Unified Time Series Diffusion Model. - Liao Qu, Huichao Zhang, Yiheng Liu, Xu Wang, Yi Jiang, Yiming Gao, Hu Ye, Daniel K. Du, Zehuan Yuan, Xinglong Wu:
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation. - Xinyu Qiao, Yudong Hu, Congying Han, Weiyan Wu, Tiande Guo:
Preference-based opponent shaping in differentiable games. - Sachira Karunasena, Erfan Khordad, Thomas Drummond, Rajitha Senanayake:
Deep Learning based Computer-vision for Enhanced Beamforming. - Joonyong Park, Daisuke Saito, Nobuaki Minematsu:
Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model. - Victor Junqiu Wei, Weicheng Wang, Di Jiang, Yuanfeng Song, Lu Wang:
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction. - Francesc Wilhelmi, Boris Bellalta, Szymon Szott, Katarzyna Kosek-Szott, Sergio Barrachina-Muñoz:
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi. - Yoonwoo Jeong, Junmyeong Lee, Hoseung Choi, Minsu Cho:
RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos. - Jiahao Lu, Tianyu Huang, Peng Li, Zhiyang Dou, Cheng Lin, Zhiming Cui, Zhen Dong, Sai-Kit Yeung, Wenping Wang, Yuan Liu:
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos. - Shuai Tan, Biao Gong, Yutong Feng, Kecheng Zheng, Dandan Zheng, Shuwei Shi, Yujun Shen, Jingdong Chen, Ming Yang:
Mimir: Improving Video Diffusion Models for Precise Text Understanding. - Benyamin Khezeli, Hamid R. Zarandi, Elham Cheshmikhani:
Online Soft Error Tolerance in ReRAM Crossbars for Deep Learning Accelerators. - Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang:
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. - Sungheon Jeong, Hanning Chen, Sanggeon Yun, Suhyeon Cho, Wenjun Huang, Xiangjian Liu, Mohsen Imani:
Expanding Event Modality Applications through a Robust CLIP-Based Encoder. - Amir Ahmad Ghods, Mohammadreza Doostmohammadian:
Decentralized Mobile Target Tracking Using Consensus-Based Estimation with Nearly-Constant-Velocity Modeling. - Huiying Cao, Yiqun Zhang, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang:
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM. - Wenyi Liu, Ziqi Zhang, Xinshi Li, Jiacheng Hu, Yuanshuai Luo, Junliang Du:
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing. - Xudong Hong, Sharid Loáiciga, Asad B. Sayeed:
A surprisal oracle for when every layer counts. - Shanding Diao, Yang Zhao, Yuan Chen, Zhao Zhang, Wei Jia, Ronggang Wang:
Lightweight Multiplane Images Network for Real-Time Stereoscopic Conversion from Planar Video. - Gangjian Zhang, Nanjie Yao, Shunsi Zhang, Hanfeng Zhao, Guoliang Pang, Jian Shu, Hao Wang:
MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction. - Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei:
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning. - Jiacheng Hu, Zhen Qi, Jianjun Wei, Jiajing Chen, Runyuan Bao, Xinyu Qiu:
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs. - Zhuohang He, Junjie Ma, Xiaojun Yuan:
Improved Turbo Message Passing for Compressive Robust Principal Component Analysis: Algorithm Design and Asymptotic Analysis. - Haoyu Jiang, Xuhong Wang, Ping Yi, Shanzhe Lei, Yilun Lin:
CredID: Credible Multi-Bit Watermark for Large Language Models Identification. - Ruiqi He, Falk Lieder:
Experience-driven discovery of planning strategies. - Ruiping Liu, Jiaming Zhang, Angela Schön, Karin Müller, Junwei Zheng, Kailun Yang, Kathrin Gerling, Rainer Stiefelhagen:
ObjectFinder: Open-Vocabulary Assistive System for Interactive Object Search by Blind People. - Kazuki Watanabe, Noboru Isobe:
Sinkhorn Algorithm for Sequentially Composed Optimal Transports. - Yijia Guo, Wenkai Huang, Yang Li, Gaolei Li, Hang Zhang, Liwen Hu, Jianhua Li, Tiejun Huang, Lei Ma:
Splats in Splats: Embedding Invisible 3D Watermark within Gaussian Splatting. - Robert Glück, Louis Marott Normann:
Inversion by Partial Evaluation: A Reversible Interpreter Experiment. - Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li:
Robust Multi-bit Text Watermark with LLM-based Paraphrasers. - Philip Wadler:
Explicit Weakening. - Jeremy G. Siek:
Gradual Guarantee via Step-Indexed Logical Relations in Agda. - Martin Plümicke:
Completing the Functional Approach in Object-Oriented Languages. - Olivier Danvy:
Summa Summarum: Moessner's Theorem without Dynamic Programming. - Philipp Spilger, Eric Müller, Johannes Schemmel:
Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware. - Elias Arnold, Eike-Manuel Edelmann, Alexander von Bank, Eric Müller, Laurent Schmalen, Johannes Schemmel:
Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware. - Yanqi Zhang, Yuwei Hu, Runyuan Zhao, John C. S. Lui, Haibo Chen:
Unifying KV Cache Compression for Large Language Models with LeanKV. - Xudong Li, Zhixiang Wang, Zihao Liu, Yizhai Zhang, Fan Zhang, Xiuming Yao, Panfeng Huang:
Asynchronous Event-Inertial Odometry using a Unified Gaussian Process Regression Framework. - Jack Gardiner, Lachlan L. H. Andrew, Junhao Gan, Jean Honorio, Seeun William Umboh:
Optimal bounds on a tree inference algorithm. - Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang:
AffordDP: Generalizable Diffusion Policy with Transferable Affordance. - Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub:
Topological Trajectory Classification and Landmark Inference on Simplicial Complexes. - Huai Yu, Junhao Wang, Yao He, Wen Yang, Gui-Song Xia:
MCVO: A Generic Visual Odometry for Arbitrarily Arranged Multi-Cameras. - Kun Li, Chenwei Dai, Wei Zhou, Songlin Hu:
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media. - Siyoon Jin, Jisu Nam, Jiyoung Kim, Dahyun Chung, Yeong-Seok Kim, Joonhyung Park, Heonjeong Chu, Seungryong Kim:
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis. - Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell:
Large Language Models show both individual and collective creativity comparable to humans. - Pius von Däniken, Jan Deriu, Mark Cieliebak:
A Measure of the System Dependence of Automated Metrics. - Xingjian Zhou, Hongji Xu, Andy Xu, Zhouxing Shi, Cho-Jui Hsieh, Huan Zhang:
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples. - Yunkai Dang, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Meijun Sun, Donglin Wang:
Multi-Level Correlation Network For Few-Shot Image Classification. - Saibo Geng, Sankalp Gambhir, Chris Wendler, Robert West:
Byte BPE Tokenization as an Inverse string Homomorphism. - Sung Woong Cho, Hwijae Son:
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems. - Sunwoong Kim, Jongho Jeong, Jin-Soo Han, Donghyuk Shin:
LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing. - Rosa Y. G. Paccotacya Yanque, Alceu Bissoto, Sandra Avila:
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers. - Aniruddha Mukherjee, Rekha Singhal, Gautam Shroff:
Numin: Weighted-Majority Ensembles for Intraday Trading. - Saksham Sharma, Akshit Raizada, Suresh Sundaram:
IRisPath: Enhancing Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability. - Geesara Kulathunga, Abdurrahman Yilmaz, Zhuoling Huang, Ibrahim Hroob, Hariharan Arunachalam, Leonardo Guevara, Alexandr Klimchik, Grzegorz Cielniak, Marc Hanheide:
Resilient Timed Elastic Band Planner for Collision-Free Navigation in Unknown Environments. - Xuesong Pan, Zhong Zheng, Xueqing Huang, Zesong Fei:
WMMSE-Based Joint Transceiver Design for Multi-RIS Assisted Cell-free Networks Using Hybrid CSI. - León-Paul Schaub Torre, Pelayo Quirós, Helena García Mieres:
Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies. - Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song:
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. - Gianni Franchi, Dat Nguyen Trong, Nacim Belkhir, Guoxuan Xia, Andrea Pilzer:
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. - Maxime Fontana, Michael W. Spratling, Miaojing Shi:
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization. - Hafiz Faheem Shahid, Erkki Harjula:
Resource Slicing through Intelligent Orchestration of Energy-aware IoT services in Edge-Cloud Continuum. - Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan:
Weighted-Reward Preference Optimization for Implicit Model Fusion. - Ivan Kralj, Lodovico Giaretta, Gordan Jezic, Ivana Podnar Zarko, Sarunas Girdzijauskas:
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction. - Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani:
Node Classification With Integrated Reject Option. - Matteo Crotti, Luca Rossini, Anna Pace, Giorgio Grioli, Antonio Bicchi, Manuel G. Catalano:
Soft Adaptive Feet for Legged Robots: An Open-Source Model for Locomotion Simulation. - Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi:
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging. - Jorge Gabín, Javier Parapar, Craig Macdonald:
Beyond Questions: Leveraging ColBERT for Keyphrase Search. - Stefan Mengel, Harry Vinall-Smeeth:
A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity. - Shuai Wang, Huiyan Kong, Baotian Li, Fa Zheng:
Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection. - Eduardo Brito, Fernando Castillo, Pille Pullonen-Raudvere, Sebastian Werner:
TrustOps: Continuously Building Trustworthy Software. - Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, Alexey D. Myasnikov, Vlad Stepanov, Alexei Miasnikov, Sergei Tilga:
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs. - Moritz Pflüger, Daniel Brunner, Tobias Heuser, James A. Lott, Stephan Reitzenstein, Ingo Fischer:
Experimental reservoir computing with diffractively coupled VCSELs. - Jorge Vila-Tomás, Pablo Hernández-Cámara, Valero Laparra, Jesús Malo:
Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment. - Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui Wu:
Semi-Supervised Transfer Boosting (SS-TrBoosting). - Guangda Liu, Chengwei Li, Jieru Zhao, Chenqi Zhang, Minyi Guo:
ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression. - Ginés Carreto Picón, Illia Oleksiienko, Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Low-Rank Scaled Dot-product Attention. - Marcin Przewiezlikowski, Randall Balestriero, Wojciech Jasinski, Marek Smieja, Bartosz Zielinski:
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations. - Alkistis Aikaterini Sigourou, Zoya Dyka, Sze Hei Li, Peter Langendoerfer, Ievgen Kabin:
Revisiting Atomic Patterns for Elliptic Curve Scalar Multiplication Revealing Inherent Vulnerability to Simple SCA. - Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique:
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges. - Chanyeol Choi, Junseong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn:
Linq-Embed-Mistral Technical Report. - Ziwei Wang, Siyang Li, Jingwei Luo, Jiajing Liu, Dongrui Wu:
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces. - Xiaohe Ma, Valentin Deschaintre, Milos Hasan, Fujun Luan, Kun Zhou, Hongzhi Wu, Yiwei Hu:
MaterialPicker: Multi-Modal Material Generation with Diffusion Transformers. - Junhong Liang:
PERL: Pinyin Enhanced Rephrasing Language Model for Chinese ASR N-best Error Correction. - Sravanti Addepalli, Yerram Varun, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? - Sebastian Forster, Antonis Skarlatos:
Dynamic Consistent k-Center Clustering with Optimal Recourse. - Haowen Bai, Jiangshe Zhang, Zixiang Zhao, Yichen Wu, Lilun Deng, Yukun Cui, Tao Feng, Shuang Xu:
Task-driven Image Fusion with Learnable Fusion Loss. - Anastasiia Bezobrazova, Miriam Seghiri, Constantin Orasan:
Benchmarking terminology building capabilities of ChatGPT on an English-Russian Fashion Corpus. - Milos Katanic, Gregor Verbic, John Lygeros, Gabriela Hug:
A Proportional-Integral Model for Fractional Voltage Tripping of Distributed Energy Resources. - Yiwu Zhong, Zhuoming Liu, Yin Li, Liwei Wang:
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning. - Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. - Andrzej Indrzejczak, Nils Kürbis:
A Cut-free, Sound and Complete Russellian Theory of Definite Descriptions. - Nozomu Masuya, Hiroshi Sato, Koki Yamane, Takuya Kusume, Sho Sakaino, Toshiaki Tsuji:
Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning. - Juhao Liang, Zhenyang Cai, Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Mosen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, Jinchao Xu:
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs. - Artur Kopitca, Shahriar Haeri, Quan Zhou:
Remote Manipulation of Multiple Objects with Airflow Field Using Model-Based Learning Control. - Qingdong He, Jinlong Peng, Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Yong Liu, Yabiao Wang, Chengjie Wang, Xiangtai Li, Jiangning Zhang:
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation. - Daniel Hård, Mathias Wallin, Matti Ristinmaa:
Electrode and electroactive polymer layout design using topology optimization. - Mianchu Wang, Yue Jin, Giovanni Montana:
Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement Learning. - Jens Egholm Pedersen, Dimitris Korakovounis, Jörg Conradt:
GERD: Geometric event response data generation. - Fabian Schmidt, Markus Enzweiler, Abhinav Valada:
NeRF and Gaussian Splatting SLAM in the Wild. - Linh Vu, Thu Tran:
Detecting abnormal heart sound using mobile phones and on-device IConNet. - Xiaopeng Sun, Qinwei Lin, Yu Gao, Yujie Zhong, Chengjian Feng, Dengjie Li, Zheng Zhao, Jie Hu, Lin Ma:
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning. - Xinling Liu, Jianjun Wang, Bangti Jin:
Theory and Fast Learned Solver for ℓ1-TV Regularization. - Zihao Yi, Zhe Xu, Ying Shen:
Intent-driven In-context Learning for Few-shot Dialogue State Tracking. - Xinru Yu, Bin Guo, Shiwei Luo, Jie Wang, Tao Ji, Yuanbin Wu:
AntLM: Bridging Causal and Masked Language Models. - Martiño Rivera-Dourado, Christos Xenakis, Alejandro Pazos, José Manuel Vázquez-Naya:
EAP-FIDO: A Novel EAP Method for Using FIDO2 Credentials for Network Authentication. - Philip Kenneweg, Raghuram Dandinasivara, Xiao Luo, Barbara Hammer, Alexander Schönhuth:
Generating Synthetic Genotypes using Diffusion Models. - Arnaud Bersier, Matteo Leonforte, Alessio Vanetta, Sarah Lia Andrea Wotke, Andrea Nappi, Yifan Zhou, Sebastiano Oliani, Alexander M. Kübler, Robert K. Katzschmann:
Rotograb: Combining Biomimetic Hands with Industrial Grippers using a Rotating Thumb. - Andreas Müller, Denis Lukovnikov, Jonas Thietke, Asja Fischer, Erwin Quiring:
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models. - Yannis Valentin Schmutz, Tetiana Kravchenko, Souhir Ben Souissi, Mascha Kurpicz-Briki:
Integrating Generative AI into Art Therapy: A Technical Showcase. - Sergey Luchinin, Svetlana Puzynina, Michaël Rao:
Recovery of cyclic words by their subwords. - Zhen-Qun Yang, Jiannong Cao, Xiaoyin Li, Kaile Wang, Xinzhe Zheng, Kai Cheung Franky Poon, Daniel Lai:
DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools. - Junjie Wen, Minjie Zhu, Yichen Zhu, Zhibin Tang, Jinming Li, Zhongyi Zhou, Chengmeng Li, Xiaoyu Liu, Yaxin Peng, Chaomin Shen, Feifei Feng:
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression. - Maximilian Kannapinn, Fabian J. Roth, Oliver Weeger:
Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs. - Nikos Efthymiadis, Bill Psomas, Zakaria Laskar, Konstantinos Karantzalos, Yannis Avrithis, Ondrej Chum, Giorgos Tolias:
Composed Image Retrieval for Training-Free Domain Conversion. - Qiaoqiao Ren, Remko Proesmans, Frederick Bossuyt, Jan Vanfleteren, Francis Wyffels, Tony Belpaeme:
Conveying Emotions to Robots through Touch and Sound. - Yiqi Li, Sheng Wang, Zhiyu Chen, Shangfeng Chen, Zhiyong Peng:
Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces. - Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Wei-Yin Ko, Madeline Smith, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker:
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - Romain Rochas, Angelo Furno, Nour-Eddin El Faouzi:
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions. - Claire Ibarboure, Ludovic Tanguy, Franck Amadieu:
Typologie des comportements utilisateurs : {é}tude exploratoire des sessions de recherche complexe sur le Web. - Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi:
Grounded Language Design for Lightweight Diagramming for Formal Methods. - Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian:
Path-Guided Particle-based Sampling. - Qin Wang, Kai Krajsek, Hanno Scharr:
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction. - Tao Jun Lin, Wenqing Wang, Yujiao Shi, Akhil Perincherry, Ankit Vora, Hongdong Li:
Geometry-guided Cross-view Diffusion for One-to-many Cross-view Image Synthesis. - Vincent Abbott, Gioele Zardini:
FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness. - Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. - Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You:
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. - Claudio Mandrioli, Seung Yeob Shin, Domenico Bianculli, Lionel C. Briand:
Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming. - Fred Philippy, Siwen Guo, Jacques Klein, Tegawendé F. Bissyandé:
LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings. - Karthik C. S., Euiwoong Lee, Yuval Rabani, Chris Schwiegelshohn, Samson Zhou:
On Approximability of ℓ22 Min-Sum Clustering. - Maro Akpobi:
Yankari: A Monolingual Yoruba Dataset. - Leizhen Wang, Peibo Duan, Zhengbing He, Cheng Lyu, Xin Chen, Nan Zheng, Li Yao, Zhenliang Ma:
AI-Driven Day-to-Day Route Choice. - Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection. - Long Mai, Julie Carson-Berndsen:
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning. - Yi Huang, Wei Xiong, He Zhang, Chaoqi Chen, Jianzhuang Liu, Mingfu Yan, Shifeng Chen:
DIVE: Taming DINO for Subject-Driven Video Editing. - Alexandre Fournier-Mongieux, Michaël Soumm, Adrian Popescu, Bertrand Luvison, Hervé Le Borgne:
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification. - Yiqin Zhang, Qingkui Chen, Chen Huang, Zhengjie Zhang, Meiling Chen, Zhibing Fu:
Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation. - Songbo Li, Shixin Luo, Jun Wu, Qiuguo Zhu:
MOVE: Multi-skill Omnidirectional Legged Locomotion with Limited View in 3D Environments. - Qinwei Lin, Xiaopeng Sun, Yu Gao, Yujie Zhong, Dengjie Li, Zheng Zhao, Haoqian Wang:
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution. - Chengwei Hu, Jianhui Zheng, Yancheng He, Hangyu Guo, Junguang Jiang, Han Zhu, Kai Sun, Yuning Jiang, Wenbo Su, Bo Zheng:
WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis. - Bruno Galerne, Jianling Wang, Lara Raad, Jean-Michel Morel:
SGSST: Scaling Gaussian Splatting StyleTransfer. - Angeliki Mourgela, Elio Quinton, Spyridon Bissas, Joshua D. Reiss, David Ronan:
Exploring trends in audio mixes and masters: Insights from a dataset analysis. - M. A. Ganaie, Vrushank Ahire:
Granular Ball Twin Support Vector Machine with Universum Data. - Chinmay Talegaonkar, Yash Belhe, Ravi Ramamoorthi, Nicholas Antipa:
Volumetrically Consistent 3D Gaussian Rasterization. - August Leander Høeg, Sophia W. Bardenfleth, Hans Martin Kjer, Tim B. Dyrby, Vedrana Andersen Dahl, Anders Dahl:
MTVNet: Mapping using Transformers for Volumes - Network for Super-Resolution with Long-Range Interactions. - Ivan Cilic, Anna Lackinger, Pantelis A. Frangoudis, Ivana Podnar Zarko, Alireza Furutanpey, Ilir Murturi, Schahram Dustdar:
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget. - Xin Ye, Karl Handwerker, Sören Hohmann:
Adaptive Model Predictive Control for Differential-Algebraic Systems towards a Higher Path Accuracy for Physically Coupled Robots. - Jiaxuan Liu, Zhaoci Liu, Yajun Hu, Yingying Gao, Shilei Zhang, Zhenhua Ling:
DiffStyleTTS: Diffusion-based Hierarchical Prosody Modeling for Text-to-Speech with Diverse and Controllable Styles. - Ge Zheng, Alexandra Brintrup:
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs. - Murat Sensoy, Lance M. Kaplan, Simon Julier, Maryam Saleki, Federico Cerutti:
Risk-aware Classification via Uncertainty Quantification. - Marius Zimand:
On one-way functions and the average time complexity of almost-optimal compression. - Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas:
Can neural operators always be continuously discretized? - Andreas Darmann, Janosch Döcker, Britta Dorn:
An even simpler hard variant of Not-All-Equal 3-SAT. - Karthekeyan Chandrasekaran, Yuri Faenza, Chengyue He, Jay Sethuraman:
Scarf's Algorithm on Arborescence Hypergraphs. - Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang:
RedStone: Curating General, Code, Math, and QA Data for Large Language Models. - Feng He, Chao Zhang, Zhixue Zhao:
Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment. - Ronald L. P. D. de Jong, Yasmina Al Khalil, Tim J. M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper, Yiping Li, Richard van Hillegersberg, Jelle P. Ruurda, Marcel Breeuwer, Fons van der Sommen:
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy. - Giulia Di Nunno, Pere Díaz Lozano:
Deep Operator BSDE: a Numerical Scheme to Approximate the Solution Operators. - Áron Fóthi, Bence Fazekas, Natabara Máté Gyöngyössy, Kristian Fenech:
Skel3D: Skeleton Guided Novel View Synthesis. - Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding:
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. - Andrea Asperti, Ali Aydogdu, Emanuela Clementi, Angelo Greco, Lorenzo Mentaschi, Fabio Merizzi, Pietro Miraglio, Paolo Oddo, Nadia Pinardi, Alessandro Testa:
Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion. - Erkan Karabulut, Paul Groth, Victoria Degeler:
Learning Semantic Association Rules from Internet of Things Data. - Clinton Cao, Annibale Panichella, Sicco Verwer:
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic. - Rémi Abgrall, Miaosen Jiao, Yongle Liu, Kailiang Wu:
A Novel and Simple Invariant-Domain-Preserving Framework for PAMPA Scheme: 1D Case. - Daniel Armstrong, Zlatko Joncev, Jeff Guo, Philippe Schwaller:
Tango*: Constrained synthesis planning using chemically informed value functions. - Matthias Christenson, Cove Geary, Brian W. Locke, Pranav Koirala, Warren Woodrich Pettine:
Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine. - Wanting Zhang, Haodong Xiang, Zhichao Liao, Xiansong Lai, Xinghui Li, Long Zeng:
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction. - Yan Li, Ziya Zhou, Zhiqiang Wang, Wei Xue, Wenhan Luo, Yike Guo:
SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model. - Alejandro Puente-Castro, Enrique Fernández-Blanco, Daniel Rivero:
Genetic Algorithm Based System for Path Planning with Unmanned Aerial Vehicles Swarms in Cell-Grid Environments. - Miguel Arturo Vega Torres, Anna Ribic, Borja Garcia de Soto, André Borrmann:
BIMCaP: BIM-based AI-supported LiDAR-Camera Pose Refinement. - Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer:
CleanDIFT: Diffusion Features without Noise. - Dung Thuy Nguyen, Ngoc N. Tran, Taylor T. Johnson, Kevin Leach:
PBP: Post-training Backdoor Purification for Malware Classifiers. - Clinton Cao, Agathe Blaise, Annibale Panichella, Sicco Verwer:
State Frequency Estimation for Anomaly Detection. - Laura Minkova, Jessica López Espejel, Taki Eddine Toufik Djaidja, Walid Dahhane, El Hassane Ettifouri:
From Words to Workflows: Automating Business Processes. - Bin Tan, Rui Yu, Yujun Shen, Nan Xue:
PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes. - Dario Serez, Marco Cristani, Alessio Del Bue, Vittorio Murino, Pietro Morerio:
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks. - Azhar Hussian, Mathias Zinnen, Thi My Hang Tran, Andreas K. Maier, Vincent Christlein:
Gesture Classification in Artworks Using Contextual Image Features. - J. Joe Payne, Daniel A. Hagen, Denis Garagic, Aaron M. Johnson:
Multi-Momentum Observer Contact Estimation for Bipedal Robots. - Hridoy Sankar Dutta:
YT-30M: A multi-lingual multi-category dataset of YouTube comments. - Neale Ratzlaff, Man Luo, Xin Su, Vasudev Lal, Phillip Howard:
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning. - Mahalakshmi Sabanayagam, Omar Al-Dabooni, Pascal Mattia Esser:
Cluster Specific Representation Learning. - Yongkyu Lee, Shivam Kumar Panda, Wei Wang, Mohammad Khalid Jawed:
Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything. - Ziwen Li, Jiaxin Huang, Runnan Chen, Yunlong Che, Yandong Guo, Tongliang Liu, Fakhri Karray, Mingming Gong:
Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction. - Wasilij Barsukow, Janina Kern, Christian Klingenberg, Lisa Lechner:
Analysis of the multi-dimensional semi-discrete Active Flux method using the Fourier transform. - Loukas Ilias, George Doukas, Vangelis Lamprou, Christos Ntanos, Dimitris Askounis:
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond. - Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen:
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. - Zican Wang, Michael Fischer, Tobias Ritschel:
Higher-order Differentiable Rendering. - Md Abu Yusuf, Md Rezaul Karim Khan, Partha Pratim Saha, Mohammed Mahbubur Rahaman:
Data Fusion of Semantic and Depth Information in the Context of Object Detection. - Casey Lauer, Robert C. Blake, Jonathan B. Freund:
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations. - Proma Hossain Progga, Md. Jobayer Rahman, Swapnil Biswas, Md. Shakil Ahmed, Arif Reza Anwary, Swakkhar Shatabda:
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks. - Ankit Chakraborty, Judit Muñoz-Matute, Leszek F. Demkowicz, Jacob Grosek:
A Space-Time Discontinuous Petrov-Galerkin Finite Element Formulation for a Modified Schrödinger Equation for Laser Pulse Propagation in Waveguides. - Weiheng Zhong, Yuancan Huang, Da Hong, Nianfeng Shao:
Design and Control of an Ultra-Slender Push-Pull Multisection Continuum Manipulator for In-Situ Inspection of Aeroengine. - Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer:
Distillation of Diffusion Features for Semantic Correspondence. - Kuei-Chun Kao:
Enhancing CLIP Conceptual Embedding through Knowledge Distillation. - Jiayu Mao, Aylin Yener:
Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces. - Shengyuan Zhang, An Zhao, Ling Yang, Zejian Li, Chenye Meng, Haoran Xu, Tianrun Chen, Anyang Wei, Perry Pengyun Gu, Lingyun Sun:
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion. - Dominic Lohr, Hieke Keuning, Natalie Kiesler:
You're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? - Lingen Li, Zhaoyang Zhang, Yaowei Li, Jiale Xu, Wenbo Hu, Xiaoyu Li, Weihao Cheng, Jinwei Gu, Tianfan Xue, Ying Shan:
NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images. - Hermes McGriff, Renato Martins, Nicolas Andreff, Cédric Demonceaux:
Dense Scene Reconstruction from Light-Field Images Affected by Rolling Shutter. - Hannan Lu, Xiaohe Wu, Shudong Wang, Xiameng Qin, Xinyu Zhang, Junyu Han, Wangmeng Zuo, Ji Tao:
Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention. - Eleuterio F. Toro, S. A. Tokareva:
Rusanov-type Schemes for Hyperbolic Equations: Wave-Speed Estimates, Monotonicity and Stability. - Laura Angeloni, Domenico Daniele Bloisi, Paolo Burghignoli, Davide Comite, Danilo Costarelli, Michele Piconi, Anna Rita Sambucini, Alessio Troiani, Alessandro Veneri:
Microwave Remote Sensing of Soil Moisture, Above Ground Biomass and Freeze-Thaw Dynamic: Modeling and Empirical Approaches. - Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Öztireli, Huan Ling, Zan Gojcic, Jiahui Huang:
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. - Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar, Hari Nalluri:
FANAL - Financial Activity News Alerting Language Modeling Framework. - Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa:
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences. - Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff:
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. - Xinheng Xie, Yue Wu, Cuiyu He:
NODE-AdvGAN: Improving the transferability and perceptual similarity of adversarial examples by dynamic-system-driven adversarial generative model. - Mahtab Bigverdi, Zelun Luo, Cheng-Yu Hsieh, Ethan Shen, Dongping Chen, Linda G. Shapiro, Ranjay Krishna:
Perception Tokens Enhance Visual Reasoning in Multimodal Language Models. - Jules Drean, Fisher Jepsen, Edward Suh, Srini Devadas, Aamer Jaleel, Gururaj Saileshwar:
Teaching an Old Dog New Tricks: Verifiable FHE Using Commodity Hardware. - Vera Prohaska, Eduardo Castelló Ferrer:
SPICE: Smart Projection Interface for Cooking Enhancement. - Jing Tan, Shuai Yang, Tong Wu, Jingwen He, Yuwei Guo, Ziwei Liu, Dahua Lin:
Imagine360: Immersive 360 Video Generation from Perspective Anchor. - Akul Malhotra, Sumeet Kumar Gupta:
BinSparX: Sparsified Binary Neural Networks for Reduced Hardware Non-Idealities in Xbar Arrays. - Andreas Steiner, André Susano Pinto, Michael Tschannen, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey A. Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, R. Reeve Ingle, Emanuele Bugliarello, Sahar Kazemzadeh, Thomas Mesnard, Ibrahim Alabdulmohsin, Lucas Beyer, Xiaohua Zhai:
PaliGemma 2: A Family of Versatile VLMs for Transfer. - John Hughes, Sara Price, Aengus Lynch, Rylan Schaeffer, Fazl Barez, Sanmi Koyejo, Henry Sleight, Erik Jones, Ethan Perez, Mrinank Sharma:
Best-of-N Jailbreaking. - Zihe Wang, Jian Wu:
Freshness and Informativity Weighted Cognitive Extent and Its Correlation with Cumulative Citation Count. - Zehuan Huang, Yuan-Chen Guo, Xingqiao An, Yunhan Yang, Yangguang Li, Zi-Xin Zou, Ding Liang, Xihui Liu, Yan-Pei Cao, Lu Sheng:
MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation. - Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz:
FLAIR: VLM with Fine-grained Language-informed Image Representations. - Cassandra Marcussen, Aaron (Louie) Putterman, Salil Vadhan:
Characterizing the Distinguishability of Product Distributions through Multicalibration. - Xinyi Mou, Xuanwen Ding, Qi He, Liang Wang, Jingcong Liang, Xinnong Zhang, Libo Sun, Jiayu Lin, Jie Zhou, Xuanjing Huang, Zhongyu Wei:
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents. - Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang:
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning. - Lue Fan, Hao Zhang, Qitai Wang, Hongsheng Li, Zhaoxiang Zhang:
FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes. - Cristóbal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles:
Streaming Detection of Queried Event Start. - Ruili Feng, Han Zhang, Zhantao Yang, Jie Xiao, Zhilei Shu, Zhiheng Liu, Andy Zheng, Yukun Huang, Yu Liu, Hongyang Zhang:
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control. - Qitao Zhao, Shubham Tulsiani:
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis. - Bingjie Song, Xin Huang, Ruting Xie, Xue Wang, Qing Wang:
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation. - Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun:
Navigation World Models. - Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar, Puyang Xu, Xiaohu Liu:
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation. - Xianjuan Chen, Shuxiang Cai, Alan F. Smeaton:
Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data. - Jiyoon Pyo, Yao-Yi Chiang:
Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data. - Ellison B. Weiner, Irene Dankwa-Mullan, William A. Nelson, Saeed Hassanpour:
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice. - Zhao Wang, Briti Gangopadhyay, Mengjie Zhao, Shingo Takamatsu:
OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising. - Yun Peng, Akhilesh Deepak Gotmare, Michael Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. - Geert Hofman:
Towards a Practical Ethics of Generative AI in Creative Production Processes. - Pei Li, Joo-Ho Choi, Dingyang Zhang, Shuyou Zhang, Yiming Zhang:
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life. - Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal, Daniel Tunkelang, Zhe Wu:
A Survey on E-Commerce Learning to Rank. - Niaz Mahmud Zafri, Ming Zhang:
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study. - Cheaheon Lim:
Resampled Mutual Information for Clustering and Community Detection. - Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim:
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models. - Valentina Anita Carriero, Antonia Azzini, Ilaria Baroni, Mario Scrocca, Irene Celino:
Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models. - Amit Agarwal, Hitesh Laxmichand Patel, Priyaranjan Pattnayak, Srikant Panda, Bhargava Kumar, Tejaswini Kumar:
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts. - Harsh Kumar:
Using Images to Find Context-Independent Word Representations in Vector Space. - Shengjun Zhu, Siyu Liu, Yang Li, Qing Lei, Hongyan Hou, Hewei Jiang, Shujuan Guo, Feng Wang, Rongshang Chen, Xionglin Fan, Sheng-ce Tao, Jiaxin Cai:
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients. - Zhen Zheng, Xin Ji, Taosong Fang, Fanghao Zhou, Chuanjie Liu, Gang Peng:
BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching. - Sourav Banerjee, Ayushi Agarwal, Eishkaran Singh:
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance? - Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo:
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models. - Mikhail Tuzhilin:
Relations between average shortest path length and another centralities in graphs. - Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Daquan Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong:
HunyuanVideo: A Systematic Framework For Large Video Generative Models. - Ammar Shaikh, Raj Abhijit Dandekar, Sreedath Panat, Rajat Dandekar:
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs. - Biqi Chen, Ying Wang:
Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications. - Christian Nitzl, Achim Cyran, Sascha Krstanovic, Uwe M. Borghoff:
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process. - Xinyu Yuan, Yan Qiao, Meng Li, Zhenchun Wei, Cuiying Feng:
Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth. - Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand, Kaustubh Dhole, Ishan Sharma, Avani Wildani, José Cambronero, Andreas Züfle:
Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL. - Emelyne Michel, Richard Philippe, Quentin Berdal:
Remote control desk in Industry 4.0 for train driver: an ergonomics perspective. - Teng Li:
A Teleoperation System with Impedance Control and Disturbance Observer for Robot-Assisted Rehabilitation. - Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le:
Recommender Systems for Sustainability: Overview and Research Issues. - Feiran You, Hongyang Du, Kaibin Huang, Abbas Jamalipour:
Network-aided Efficient Large Language Model Services With Denoising-inspired Prompt Compression. - Peihong Yuan, Ken R. Duffy, Muriel Médard:
Soft-Output Successive Cancellation List Decoding. - Wenyi Wang, Hisham A. Alyahya, Dylan R. Ashley, Oleg Serikov, Dmitrii Khizbullin, Francesco Faccio, Jürgen Schmidhuber:
How to Correctly do Semantic Backpropagation on Language-based Agentic Systems. - JiaLe Ren:
Multimodal Sentiment Analysis Based on BERT and ResNet. - E. Karimi, S. Shahnooshi, E. Meshkati, Tomislav Dragicevic, Frede Blaabjerg:
Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Converters. - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective. - Zehuan Huang, Yuan-Chen Guo, Haoran Wang, Ran Yi, Lizhuang Ma, Yan-Pei Cao, Lu Sheng:
MV-Adapter: Multi-view Consistent Image Generation Made Easy. - Louis Airale, Adrien Pajot, Juliette Linossier:
NBM: an Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe. - Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani:
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques. - Robert-Jeron Reifert, Yasemin Karacora, Christina Chaccour, Aydin Sezgin, Walid Saad:
Resilience and Criticality: Brothers in Arms for 6G. - Davide Bucciarelli, Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis. - Meltem Apaydin Ustun, Liang Xu, Bo Zeng, Xiaoning Qian:
Hyperparameter Tuning Through Pessimistic Bilevel Optimization. - Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel:
Tight Lower Bounds and Improved Convergence in Performative Prediction. - Francesco Innocenti, Paul F. Kinghorn, Will Yun-Farmbrough, Miguel De Llanza Varona, Ryan Singh, Christopher L. Buckley:
JPC: Flexible Inference for Predictive Coding Networks in JAX. - Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig:
Evaluating Language Models as Synthetic Data Generators. - Yifei Li:
Classic Round-Up Variant of Fast Unsigned Division by Constants: Algorithm and Full Proof. - Guy Barel, Oren Tsur, Dan Vilenchik:
Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings. - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Designing DNNs for a trade-off between robustness and processing performance in embedded devices. - Cheng-An Hsieh, Jing Zhang, Ava Yan:
Sprite Sheet Diffusion: Generate Game Character for Animation. - Luis Morales-Navarro, Deborah A. Fields, Yasmin B. Kafai, Deepali Barapatre:
Assessing Changes in Thinking about Troubleshooting in Physical Computing: A Clinical Interview Protocol with Failure Artifacts Scenarios. - Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger:
Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability. - Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote:
System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT. - Luciana Ferrer, Odette Scharenborg, Tom Bäckström:
Good practices for evaluation of machine learning systems. - Dongping Fang, Lian Duan, Xiaojing Yuan, Allyn Klunder, Kevin Tan, Suiting Cao, Yeqing Ji, Mike Xu:
Interpretable Hierarchical Attention Network for Medical Condition Identification. - Xiyao Wang, Zhengyuan Yang, Linjie Li, Hongjin Lu, Yuancheng Xu, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang:
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension. - Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu:
Fairness without Demographics through Learning Graph of Gradients. - Pio Ong, Max H. Cohen, Tamás G. Molnár, Aaron D. Ames:
Rectified Control Barrier Functions for High-Order Safety Constraints. - Saurav Ghosh, Reshmi Mitra, Indranil Roy, Bidyut Gupta:
Securing RC Based P2P Networks: A Blockchain-based Access Control Framework utilizing Ethereum Smart Contracts for IoT and Web 3.0. - Taehyeun Kim, Anouck Girard, Ilya V. Kolmanovsky:
CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor. - Gian Alix, Arian Haghparast, Manos Papagelis:
PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning. - Noah Shumba, Opelo Tshekiso, Pengfei Li, Giulia Fanti, Shaolei Ren:
A Water Efficiency Dataset for African Data Centers. - Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff:
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach. - Ye Yuan, Can Chen, Christopher Pal, Xue Liu:
ParetoFlow: Guided Flows in Multi-Objective Optimization. - Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell:
From Language Models over Tokens to Language Models over Characters. - Zhiheng Zhang, Zichen Wang:
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference. - Chaoyu Li, Eun Woo Im, Pooyan Fazli:
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding. - Dewang Sultania, Zhaoyu Lu, Twisha Naik, Franck Dernoncourt, David Seunghyun Yoon, Sanat Sharma, Trung Bui, Ashok Gupta, Tushar Vatsa, Suhas Suresha, Ishita Verma, Vibha Belavadi, Cheng Chen, Michael Friedrich:
Domain-specific Question Answering with Hybrid Search. - Aleyeh Roknaldin, Zehao Zhang, Jiayuan Xu, Kamiar Alaei, Maryam Pishgar:
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database. - Dilan Mian:
Exploring the Role of AI-Powered Chatbots for Teens and Young Adults with ASD or Social Anxiety. - Jakob Schlör, Matthew Newman, Jannik Thümmel, Antonietta Capotondi, Bedartha Goswami:
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime. - Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim:
Deep Variational Bayesian Modeling of Haze Degradation Process. - Yuxuan Jiang, Ho Man Kwan, Tianhao Peng, Ge Gao, Fan Zhang, Xiaoqing Zhu, Joel Sole, David Bull:
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution. - Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone:
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. - Shuai Shao, Tingting Yu:
Enhancing IR-based Fault Localization using Large Language Models. - Justin Theiss, Norman Müller, Daeil Kim, Aayush Prakash:
Multi-view Image Diffusion via Coordinate Noise and Fourier Attention. - Alexey Vlaskin, Eduardo G. Altmann:
Synthetic graphs for link prediction benchmarking. - Ruibo Ming, Jingwei Wu, Zhewei Huang, Zhuoxuan Ju, Jianming Hu, Lihui Peng, Shuchang Zhou:
Advancing Auto-Regressive Continuation for Video Frames. - John McConnell, Ivana Collado-Gonzalez, Paul Szenher, Brendan J. Englot:
Large-Scale Dense 3D Mapping Using Submaps Derived From Orthogonal Imaging Sonars. - Ximing Wen:
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks. - Nancy Otero, Stefania Druga, Lan Andrew:
A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction.
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