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CoRR, November 2024
- Ziheng Guo, Igor Cialenco, Ming Zhong:
Noise Guided Structural Learning from Observing Stochastic Dynamics. - Seong-Hyun Hong, Hyun-Sung Kim, Zian Jang, Byung-Jun Lee:
IC/DC: Surpassing Heuristic Solvers in Combinatorial Optimization with Diffusion Models. - Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li:
Mastering the Craft of Data Synthesis for CodeLLMs. - Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma:
Personality-Guided Code Generation Using Large Language Models. - Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann:
LARS: Light Augmented Reality System for Swarm. - Sota Takagi, Miki Saijo, Takumi Ohashi:
Consumer Segmentation and Participation Drivers in Community-Supported Agriculture: A Choice Experiment and PLS-SEM Approach. - J. M. Conejero, J. C. Preciado, A. E. Prieto, M. C. Bas, V. J. Bolos:
Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS. - Ram Manohar, S. M. Mallikarjunaiah:
An hp-adaptive discontinuous Galerkin discretization of a static anti-plane shear crack model. - Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Jean Leneutre, Vadim Malvone, James Ortiz:
Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models. - Yibo Dong, Yu Chen, Jianwen Li, Geguang Pu, Ofer Strichman:
Revisiting Assumptions Ordering in CAR-Based Model Checking. - Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. - Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li:
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN. - Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. - Danrun Cao, Nicolas Béchet, Pierre-François Marteau:
WikiNER-fr-gold: A Gold-Standard NER Corpus. - Xinguo Yu, Weina Cheng, Chuanzhi Yang, Ting Zhang:
A Theoretical Review on Solving Algebra Problems. - Mikael Mortensen:
A faster multipole Legendre-Chebyshev transform. - Herman Lassche, Michiel Overeem, Ayushi Rastogi:
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot. - Mart Lubbers, Peter Achten:
Clean for Haskell Programmers. - Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler:
Topic-Conversation Relevance (TCR) Dataset and Benchmarks. - Yulong Wang, Chang Zuo, Yin Xuan, Hong Li, Ni Wei:
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models. - Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Parvez Zamil, Gollam Rabby, Md. Sadekur Rahman, Sören Auer:
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering. - Amogh Akella:
Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring. - Alex Kaltenbach, Michael Ruzicka:
Conditional quasi-optimal error estimate for a finite element discretization of the p-Navier-Stokes equations: The case p>2. - B. D. Lam, S. Ma, I. Kovalenko, P. Wang, O. Jafari, A. Li, S. Horng:
MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset. - Elena Kardanova, Alina Ivanova, Ksenia Tarasova, Taras Pashchenko, Aleksei Tikhoniuk, Elen Yusupova, Anatoly Kasprzhak, Yaroslav Kuzminov, Ekaterina Kruchinskaia, Irina Brun:
A Novel Psychometrics-Based Approach to Developing Professional Competency Benchmark for Large Language Models. - J. Harry Caufield, Carlo Kroll, Shawn T. O'Neil, Justin T. Reese, Marcin P. Joachimiak, Harshad Hegde, Nomi L. Harris, Madan Krishnamurthy, James A McLaughlin, Damian Smedley, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall:
CurateGPT: A flexible language-model assisted biocuration tool. - Linda Feeken, Martin Fränzle:
Towards the Usage of Window Counting Constraints in the Synthesis of Reactive Systems to Reduce State Space Explosion. - Albert Nössig, Tobias Hell, Georg Moser:
Rule by Rule: Learning with Confidence through Vocabulary Expansion. - Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam:
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. - Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. - Darian Rodriguez Vasquez, Afroditi Papadaki:
Generating Diverse Negations from Affirmative Sentences. - Akshay Rane, Kunalkumar Shelar:
Asymptotic expansions for approximate solutions of boundary integral equations. - Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Evolving Alignment via Asymmetric Self-Play. - Kangxiang Xia, Dake Guo, Jixun Yao, Liumeng Xue, Hanzhao Li, Shuai Wang, Zhao Guo, Lei Xie, Qingqing Zhang, Lei Luo, Minghui Dong, Peng Sun:
The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings. - Junming Duan, Wasilij Barsukow, Christian Klingenberg:
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation. - Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. - Quinten Norga, Suparna Kundu, Uttam Kumar Ojha, Anindya Ganguly, Angshuman Karmakar, Ingrid Verbauwhede:
Masking Gaussian Elimination at Arbitrary Order, with Application to Multivariate- and Code-Based PQC. - Mahesh Vaijainthymala Krishnamoorthy
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Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System. - Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai:
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation. - Lamine Diop, Marc Plantevit, Arnaud Soulet:
RPS: A Generic Reservoir Patterns Sampler. - Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Zachary Roch, Ramya Akula:
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse. - Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. - Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott:
Label Noise: Ignorance Is Bliss. - Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang:
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola:
Learning Visual Parkour from Generated Images. - Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John Subosits, Thomas Lew:
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Viviana Alejandra Diaz, Leandro Martin Salomone, Marcela Zuccalli:
Lagrangian neural networks for nonholonomic mechanics. - Wang Du-Yi, Liang Guo, Liu Guangwu, Zhang Kun:
Derivative-Free Optimization via Finite Difference Approximation: An Experimental Study. - Altera. AL, Andrew Ahn, Nic Becker, Stephanie Carroll, Nico Christie, Manuel Cortes, Arda Demirci, Melissa Du, Frankie Li, Shuying Luo, Peter Y. Wang, Mathew Willows, Feitong Yang, Guangyu Robert Yang:
Project Sid: Many-agent simulations toward AI civilization. - Shankara Narayanan Krishna, Khushraj Madnani, Agnipratim Nag, Paritosh K. Pandya:
Openness And Partial Adjacency In One Variable TPTL. - Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup:
Soft Condorcet Optimization for Ranking of General Agents. - Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao:
I Can Hear You: Selective Robust Training for Deepfake Audio Detection. - Berkay Kaplan:
Globalping: A Community-Driven, Open-Source Platform for Scalable, Real-Time Network Measurements. - Thomas Crasson, Yacine Nabet, Mathias Lécuyer:
Training and Evaluating Causal Forecasting Models for Time-Series. - David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen:
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - John Whitington:
Two Dimensional Hidden Surface Removal with Frame-to-frame Coherence. - Tang Li, Mengmeng Ma, Xi Peng:
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales. - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Constrained Fair and Efficient Allocations. - Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath:
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Sapphira Akins, Hans Mertens, Frances Zhu:
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration. - Ricardo Valadas, Maximilian Stölzle, Jingyue Liu, Cosimo Della Santina:
Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control. - Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras:
Learning local discrete features in explainable-by-design convolutional neural networks. - Sanaz Mahmoodi Takaghaj:
ViT-LCA: A Neuromorphic Approach for Vision Transformers. - Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. - Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann:
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. - Chunyan Mu, Muhammad Najib, Nir Oren:
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems. - Charles Westphal, Stephen Hailes, Mirco Musolesi:
Mutual Information Preserving Neural Network Pruning. - Michael Köhler-Bussmeier, Lorenzo Capra:
A "Symbolic" Representation of Object-Nets (Extended Version). - Christopher Richardson, Roshan Sharma, Neeraj Gaur, Parisa Haghani, Anirudh Sundar, Bhuvana Ramabhadran:
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking. - Nursena Köprücü, Destiny Okpekpe, Antonio Orvieto:
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs. - Antonio Almudévar, Romain Serizel, Alfonso Ortega:
Angular Distance Distribution Loss for Audio Classification. - Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh:
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. - Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen:
Unlocking the Potential of Global Human Expertise. - Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida:
Using Deep Neural Networks to Quantify Parking Dwell Time. - Catalina Rus-Casas, Carlos Gilabert-Torres, Juan Ignacio Fernandez-Carrasco:
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution. - Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Mohammad Farazi, Yalin Wang:
A Recipe for Geometry-Aware 3D Mesh Transformers. - Yue Fu, Han Bin, Tony Zhou, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Jacob O. Wobbrock, Alexis Hiniker:
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking. - Ibne Hassan, Aman Mujahid, Abdullah Al Hasib, Andalib Rahman Shagoto, Joyanta Jyoti Mondal, Meem Arafat Manab, Jannatun Noor:
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia. - Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay:
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. - Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng:
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey. - John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. - Pranav Singh Chib, Pravendra Singh:
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. - Panagiota Gatoula, Dimitrios E. Diamantis, Anastasios Koulaouzidis, Cristina Carretero, Stefania Chetcuti-Zammit, Pablo Cortegoso Valdivia, Begoña González-Suárez, Alessandro Mussetto, John Plevris, Alexander Robertson, Bruno Rosa, Ervin Toth, Dimitris K. Iakovidis:
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy. - Mark Díaz, Angela DR Smith:
What Makes An Expert? Reviewing How ML Researchers Define "Expert". - Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey:
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. - Curtis Bechtel, Shaddin Dughmi:
Efficient Multi-Agent Delegated Search. - Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada:
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. - Tempest A. van Schaik, Xinggang Liu, Louis Atallah, Omar Badawi:
Monitoring fairness in machine learning models that predict patient mortality in the ICU. - Ce Zhou, Qiben Yan, Daniel Kent, Guangjing Wang, Weikang Ding, Ziqi Zhang, Hayder Radha:
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving. - Marek Kirejczyk, Maciej Kalka, Leonid Logvinov:
Historical and Multichain Storage Proofs. - Aris J. Aristorenas:
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering. - Brody McNutt, Libby Zhang, Angus Carey-Douglas, Fritz Vollrath, Frank Pope, Leandra L. Brickson:
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis. - James Li, Noam Zilberstein, Alexandra Silva:
Total Outcome Logic: Proving Termination and Nontermination in Programs with Branching. - Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. - Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nidhal Jegham, Chan Young Koh, Marwan F. Abdelatti, Abdeltawab M. Hendawi:
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors. - Keivan Rezaei, Khyathi Raghavi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander:
RESTOR: Knowledge Recovery through Machine Unlearning. - Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning. - Luc Jonveaux:
Using Large Language Models for a standard assessment mapping for sustainable communities. - Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu Thiruvasagam, Hong-Fu Chou, Duc-Dung Tran, Luis M. Garces-Socarras, Jorge L. Gonzalez-Rios, Juan Carlos Merlano Duncan, Symeon Chatzinotas:
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification. - Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Scale-Aware Recognition in Satellite Images under Resource Constraint. - Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy, Hung Le, Marcin Pilipczuk, Michal Pilipczuk:
Embedding Planar Graphs into Graphs of Treewidth O(log3 n). - Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. - Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu, Yahav Avigal, Jeffrey Ichnowski, Ken Goldberg:
BOMP: Bin-Optimized Motion Planning. - Ehsan Ganjidoost, Jeff Orchard:
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. - Sara Honarvar, Yancy Diaz-Mercado:
Learning Optimal Interaction Weights in Multi-Agents Systems. - Gholamreza Davarpanah, Sajjad Mohammadi:
A New Switched Reluctance Motor with Embedded Permanent Magnets for Transportation Electrification. - Johanna Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman:
Fashion-VDM: Video Diffusion Model for Virtual Try-On. - José Ignacio Olalde-Verano, Sascha Kirch, Clara Pérez-Molina, Sergio Martín:
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models. - Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Shaohua Liu, Junzhe Lu, Zuoya Gu, Jiajun Li, Yue Deng:
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. - Bill Fan, Jacob Roulier, Gina Olson:
A Fast and Model Based Approach for Evaluating Task-Competence of Antagonistic Continuum Arms. - Gustavo Arengas:
Certified binary search tree on W-types. - Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello:
ResiDual Transformer Alignment with Spectral Decomposition. - Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. - Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park:
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. - Muhieddine Shebaro, Lucas Rusnak, Martin Burtscher, Jelena Tesic:
GraphC: Parameter-free Hierarchical Clustering of Signed Graph Networks v2. - Maxwell Meyer, Jack Spruyt:
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Vision. - Michael T. Goodrich, Ryuto Kitagawa, Vinesh Sridhar:
Dynamic Accountable Storage: An Efficient Protocol for Real-time Cloud Storage Auditing. - Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma:
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. - David Smerkous, Qinxun Bai, Fuxin Li:
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. - Allison Naaktgeboren, Sean Noble Anderson, Andrew Tolmach, Greg Sullivan:
Pipe-Cleaner: Flexible Fuzzing Using Security Policies. - Mehmet Emre Akbulut, Yusuf Erdem Nacar:
Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 Dataset. - Grace Kim, Luca Powell, Filip Svoboda, Nicholas D. Lane:
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. - Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. - Koffi Ismael Ouattara:
Quantifying calibration error in modern neural networks through evidence based theory. - Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li:
A Systematic Review of NeurIPS Dataset Management Practices. - Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Clustering ensemble algorithm with high-order consistency learning. - Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation. - Diptarka Saha, Zihe Liu, Feng Liang:
Efficient Model Compression for Bayesian Neural Networks. - Kyung-hwan Lee, Kyung-tae Kim:
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery. - Joanikij Chulev:
Improving Musical Instrument Classification with Advanced Machine Learning Techniques. - Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. - Torin Gerhart, Justin Sunu, Ekaterina Merkurjev, Jen-Mei Chang, Jérôme Gilles, Andrea L. Bertozzi:
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data. - Alexandru T. Cismaru:
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies. - Yueqiao Jin, Roberto Martínez-Maldonado, Dragan Gasevic, Lixiang Yan:
GLAT: The Generative AI Literacy Assessment Test. - Ruisi Zhang, Tianyu Liu, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa:
SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile. - Ashkan Golgoon, Ryan Franks, Khashayar Filom, Arjun Ravi Kannan:
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings. - David A. Danhofer:
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks. - Kazi Ahmed Asif Fuad, Lizhong Chen:
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models. - Megan C. Coram, Allison M. Okamura, Cosima du Pasquier:
Fabrication and Performance of Textile Pneumatic Actuators. - Serena Zhang, Sraavya Sambara, Oishi Banerjee, Julian Acosta, L. John Fahrner, Pranav Rajpurkar:
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models. - Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang:
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering. - Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun:
Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Daijin Yang, Erica Kleinman, Casper Harteveld:
GPT for Games: An Updated Scoping Review (2020-2024). - Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park, SangKeun Lee:
C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning. - Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo:
Cyclic Reformulation Based System Identification for Periodically Time-varying Systems. - Shuying Gan, Xijun Wang, Chao Xu, Xiang Chen:
Task-oriented Age of Information for Remote Monitoring Systems. - Satvik Dixit, Soham Deshmukh, Bhiksha Raj:
MACE: Leveraging Audio for Evaluating Audio Captioning Systems. - Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim:
Constant Acceleration Flow. - Sajad Sotudeh, Nazli Goharian:
Learning to Rank Salient Content for Query-focused Summarization. - Connor J. McLaughlin, Lili Su:
Personalized Federated Learning via Feature Distribution Adaptation. - Shengxun Wei, Zan Gao, Yibo Zhao, Weili Guan:
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification. - Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang:
Beyond Utility: Evaluating LLM as Recommender. - Xintao Jiang, Yaosen Chen, Siqin Zhang, Wei Wang, Xuming Wen:
NCST: Neural-based Color Style Transfer for Video Retouching. - Karine Karine, Benjamin M. Marlin:
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention. - Kedi Zheng, Hanwei Xu, Zeyang Long, Yi Wang, Qixin Chen:
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand. - Xiaotian Li, Baojie Fan, Jiandong Tian, Huijie Fan:
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection. - Meng Sun, Lin Li, Ming Li, Xiaohui Tao, Dong Zhang, Peipei Wang, Jimmy Xiangji Huang:
A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Wenhao Wang, Deli Qiao, Lei Yang, Yueying Zhan, Derrick Wing Kwan Ng:
Energy Efficiency Analysis of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints: An Information-Theoretic Perspective. - Weicheng Ma, Luyang Zhao, Chun-Yi She, Yitao Jiang, Alan Sun, Bo Zhu, Devin J. Balkcom, Soroush Vosoughi:
On the Exploration of LM-Based Soft Modular Robot Design. - Luyang Zhao, Yitao Jiang, Chun-Yi She, Mingi Jeong, Haibo Dong, Alberto Quattrini Li, Muhao Chen, Devin J. Balkcom:
An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion. - Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen:
Attention Tracker: Detecting Prompt Injection Attacks in LLMs. - Dinitha Wijewardhana, Sugandima Vidanagamachchi, Nalin A. G. Arachchilage:
Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review. - Zhongyue Zhang, Lina Xu, Xingkai Wang, Xu Zhang, Mingming Fan:
Understanding and Co-designing Photo-based Reminiscence with Older Adults. - Muhammad Muzammil, Zhengyu Wu, Lalith Harisha, Brian Kondracki, Nick Nikiforakis:
Typosquatting 3.0: Characterizing Squatting in Blockchain Naming Systems. - Mengcheng Li, Mingbao Lin, Fei Chao, Chia-Wen Lin, Rongrong Ji:
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images. - Daichi Tajima, Yoshihiro Kanamori, Yuki Endo:
All-frequency Full-body Human Image Relighting. - Mathew Mithra Noel, Akshay Chawla:
An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels. - Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz, John Thickstun:
Constrained Diffusion Implicit Models. - Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang:
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi:
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. - Tao Yu, Xingye Yue, Changjuan Zhang:
Heterogeneous Multiscale Method for elliptic problem without scale separation. - Tao Yu, Xingye Yue:
Localized Orthogonal Decomposition Method with H1 Interpolation for Multiscale Elliptic Problem. - Lina Wang, Yunsheng Yuan, Feng Li, Lingjie Duan:
ROSS:RObust decentralized Stochastic learning based on Shapley values. - Md Kamrul Hasan Chy, Obed Nana Buadi:
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection. - Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang:
GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao:
Generalizability of Memorization Neural Networks. - Xusheng Zhu, Qingqing Wu, Wen Chen, Xinyuan He, Lexi Xu, Yaxin Zhang:
Discrete RIS Enhanced Space Shift Keying MIMO System via Reflecting Beamforming Optimization. - He Sun, Lipeng Zhu, Weidong Mei, Rui Zhang:
RSRP Measurement Based Channel Autocorrelation Estimation for IRS-Aided Wideband Communication. - Ashwin Balasubramanian, Vito Zou, Hitesh Narayana, Christina You, Luca Luceri, Emilio Ferrara:
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X. - Haifeng Sun, Lan Zhang, Xiang-Yang Li:
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models. - Shota Yamanaka, Hiroki Usuba, Junichi Sato, Naomi Sasaya, Fumiya Yamashita, Shuji Yamaguchi:
Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones. - Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective. - Junlin He, Jinxiao Du, Susu Xu, Wei Ma:
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization. - Telikepalli Kavitha, Kazuhisa Makino:
Perfect Matchings and Popularity in the Many-to-Many Setting. - Jiaru Zou, Qing Wang, Pratyush Thakur, Nickvash Kani:
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing. - Xi Zheng, Xiangyu Chang, Ruoxi Jia, Yong Tan:
Towards Data Valuation via Asymmetric Data Shapley. - David Anugraha, Garry Kuwanto, Lucky Susanto, Derry Tanti Wijaya, Genta Indra Winata:
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration. - Junlin He, Jinxiao Du, Wei Ma:
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization. - Heiko Hoffmann:
Advantages of Neural Population Coding for Deep Learning. - Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin:
Right this way: Can VLMs Guide Us to See More to Answer Questions? - Shuai Xiao, Zaifan Jiang:
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks. - Xiaoying Liu, Anping Chen, Kechen Zheng, Kaikai Chi, Bin Yang, Tarik Taleb:
Distributed Computation Offloading for Energy Provision Minimization in WP-MEC Networks with Multiple HAPs. - Chaoqian Wang, Qi Su:
Spatial public goods games on any population structure. - Zhiyu Xie, Yuqing Zhang, Xiangjun Tang, Yiqian Wu, Dehan Chen, Gongsheng Li, Xaogang Jin:
StyleTex: Style Image-Guided Texture Generation for 3D Models. - Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. - Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla:
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue:
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection. - Arjun Ramesh Kaushik, Charanjit Jutla, Nalini K. Ratha:
Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation. - JuneYoung Park, MinJae Kang:
Fast Adaptation with Kernel and Gradient based Meta Leaning. - Quy-Anh Dang, Chris Ngo:
MoD: A Distribution-Based Approach for Merging Large Language Models. - Dong Wen, Zhongpei Liu, Tong Yang, Tao Li, Tianyun Li, Chenglong Li, Jie Li, Zhigang Sun:
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis. - Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie:
Black-Box Forgetting. - Arjun Ramesh Kaushik, Sunil Rufus R. P, Nalini K. Ratha:
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models. - Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu:
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu:
Multi-Uncertainty Aware Autonomous Cooperative Planning. - John Edwards, Arto Hellas, Juho Leinonen:
On the Opportunities of Large Language Models for Programming Process Data. - Francisco M. F. R. Gonçalves, Ryan M. Bena, Néstor O. Pérez-Arancibia:
Closed-Loop Stability of a Lyapunov-Based Switching Attitude Controller for Energy-Efficient Torque-Input-Selection During Flight. - Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Self-Evolved Reward Learning for LLMs. - Di Duan, Shengzhe Lyu, Mu Yuan, Hongfei Xue, Tianxing Li, Weitao Xu, Kaishun Wu, Guoliang Xing:
Argus: Multi-View Egocentric Human Mesh Reconstruction Based on Stripped-Down Wearable mmWave Add-on. - Yinfeng Cao, Jiannong Cao, Dongbin Bai, Long Wen, Yang Liu, Ruidong Li:
MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications. - Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim:
Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing. - Jaewook Lee, Xinyang Sun, Ethan Errington, Miao Guo:
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential. - Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan:
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems. - Xuchen Xie, Yiqiao Qiu, Run Lin, Weishi Zheng, Ruixuan Wang:
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection. - Wout Gerdes, Erman Acar:
Integrating Fuzzy Logic into Deep Symbolic Regression. - Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. - Yun Jiang, Zilong Xie, Wei Zhang, Yun Fang, Shuai Pan:
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation. - Rick Wertenbroek, Alberto Dassatti:
Pandora's Box in Your SSD: The Untold Dangers of NVMe. - Zhirui Sun, Bingyi Xia, Peijia Xie, Xiaoxiao Li, Jiankun Wang:
NAMR-RRT: Neural Adaptive Motion Planning for Mobile Robots in Dynamic Environments. - Peichen Xie, Yanjie Gao, Jilong Xue:
FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang:
Expert-level protocol translation for self-driving labs. - Jukka Ruohonen:
An Empirical Study of Vulnerability Handling Times in CPython. - Jianhua Sun, Yuxuan Li, Longfei Xu, Nange Wang, Jiude Wei, Yining Zhang, Cewu Lu:
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization. - Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. - Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin Li, Yifan Xue, Zhiwen Yu, Xuelin Cao, Yan Zhang, Mérouane Debbah, H. Vincent Poor, Chau Yuen:
Diffusion Models as Network Optimizers: Explorations and Analysis. - Yulin Chen, Haoran Li, Zihao Zheng, Yangqiu Song, Dekai Wu, Bryan Hooi:
Defense Against Prompt Injection Attack by Leveraging Attack Techniques. - Meng Wang, Yuchen Liu
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products. - Zixuan He, Ziqian Kong, Zhengyu Chen, Yuling Zhan, Zijun Que, Zhengguo Xu:
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines. - Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li:
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions. - Shiwei Sun, Giovanni S. Alberti:
The learned range test method for the inverse inclusion problem. - Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng, Hui-Peng Du, Ye-Xin Lu, Zhen-Hua Ling:
MDCTCodec: A Lightweight MDCT-based Neural Audio Codec towards High Sampling Rate and Low Bitrate Scenarios. - Rui Yang, Jie Wang, Guoping Wu, Bin Li:
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions. - Anuradha Chopra, Abhinaba Roy, Dorien Herremans:
MIRFLEX: Music Information Retrieval Feature Library for Extraction. - Lianjun Liu:
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention. - Yuchen Song, Yao Zhang, Anni Zhou, Yan Shi, Shikui Shen, Xiongyan Tang, Jin Li, Min Zhang, Danshi Wang:
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations. - Jun Cui:
Computer Application Research based on Chinese Human Resources and Network Information Security Technology Management and Analysis In Chinese Universities. - Ren Xin, Jie Cheng, Jun Ma:
PlanScope: Learning to Plan Within Decision Scope Does Matter. - Bubacarr Jobarteh, Madalina Mincu, Gavojdian Dinu, Suresh Neethirajan:
Multi Modal Information Fusion of Acoustic and Linguistic Data for Decoding Dairy Cow Vocalizations in Animal Welfare Assessment. - Mitch Arkeen Salvador, Khavee Agustus Botangen, Mary Camille Rabang, Ivan Christian Salinas, Marlon A. Naagas, Angelika Balagot:
Development of a Web-based Research Consortium Database Management System: Advancing Data-driven and Knowledge-based Project Management. - Yuchen Zheng, Yuxin Jing, Jufeng Zhao, Guangmang Cui:
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO. - Qasim Khan, Anthony Suen:
Comparative Analysis of Polynomials with Their Computational Costs. - Zihong He, Weizhe Lin, Hao Zheng, Fan Zhang, Matt Jones, Laurence Aitchison, Xuhai Xu, Miao Liu, Per Ola Kristensson, Junxiao Shen:
Human-inspired Perspectives: A Survey on AI Long-term Memory. - Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes:
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains. - Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen:
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models. - Andrew Bond, Zafer Dogan:
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning. - Hairuo Hu, Haiyong Cong, Zhuyu Shao, Yubo Bi, Jinghao Liu:
Cross-modal semantic segmentation for indoor environmental perception using single-chip millimeter-wave radar raw data. - Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin:
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems. - Óscar Blanco-Novoa, Paulo Barros, Paula Fraga-Lamas, Sérgio Ivan Lopes, Tiago M. Fernández-Caramés:
IoT Architectures for Indoor Radon Management: A Prospective Analysis. - Jiabao He, Håkan Hjalmarsson:
Weighted Null Space Fitting (WNSF): A Link between The Prediction Error Method and Subspace Identification. - Gi-Cheon Kang, Junghyun Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang:
CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision. - Aida Vidal-Balea, Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Advancing NASA-TLX: Automatic User Interaction Analysis for Workload Evaluation in XR Scenarios. - Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Tactical Edge IoT in Defense and National Security. - Elaine Cecília Gatto, Felipe Kenji Nakano, Jesse Read, Mauri Ferrandin, Ricardo Cerri, Celine Vens:
Label Cluster Chains for Multi-Label Classification. - Tarkan Temizöz, Christina Imdahl, Remco M. Dijkman, Douniel Lamghari-Idrissi, Willem van Jaarsveld:
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide. - Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid Ismail:
Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning. - Carlotta Langer, Yasmin Kim Georgie, Ilja Porohovoj, Verena Vanessa Hafner, Nihat Ay:
Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective. - Minhyeon Oh, Seungjoon Lee, Jungseul Ok:
Active Preference-based Learning for Multi-dimensional Personalization. - Sadaf Khan, Zhengyuan Shi, Ziyang Zheng, Min Li, Qiang Xu:
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations. - Anbang Wang:
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models. - Jongmin Lee, Minsu Cho:
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction. - Sourav Modak, Anthony Stein:
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems. - Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin:
Conditional Synthesis of 3D Molecules with Time Correction Sampler. - Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh:
Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. - Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara:
Is Multiple Object Tracking a Matter of Specialization? - Xintong Yang, Ze Ji, Yu-Kun Lai:
Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials. - Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey Savchenko, Ilya Makarov:
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. - Francesco D'Amato, Roberto Saltini, Thanh-Hai Tran, Luca Zanolini:
3-Slot-Finality Protocol for Ethereum. - Carlos E. Budde, Arnd Hartmanns, Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft:
Sound Statistical Model Checking for Probabilities and Expected Rewards. - Ruiyu Xia, Jianqiang Li, Xi Xu, Guanghui Fu:
Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images. - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Enrico Grisan:
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors. - Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh:
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. - Yu Han, Jeroen Bergmann:
Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and China. - Julian Heinovski, Doganalp Ergenç, Kirsten Thommes, Falko Dressler:
Incentive-based Platoon Formation: Optimizing the Personal Benefit for Drivers. - Bruno Mendes, Pedro F. Souto, Pedro C. Diniz:
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning. - Théo Lavier:
A Semi-Discrete Optimal Transport Scheme for the 3D Incompressible Semi-Geostrophic Equations. - Curtis Wigington:
Handheld Video Document Scanning: A Robust On-Device Model for Multi-Page Document Scanning. - Dillon Z. Chen:
WLPlan: Relational Features for Symbolic Planning. - Antoine P. Sanner, Jonathan Stieber, Nils F. Grauhan, Suam Kim, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay:
Federated Voxel Scene Graph for Intracranial Hemorrhage. - Yo Toyomoto, Toshiyuki Oshima, Kosei Oishi, José M. Maestre, Takeshi Hatanaka:
Constraint-Driven Multi-USV Coverage Path Generation for Aquatic Environmental Monitoring. - Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu:
Benchmarking Bias in Large Language Models during Role-Playing. - Taejong Joo, Diego Klabjan:
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees. - Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
α-TCVAE: On the relationship between Disentanglement and Diversity. - Pierre Cagne, Patricia Johann:
Early Announcement: Parametricity for GADTs. - Zhili Feng, Tanya Marwah, Nicolò Fusi, David Alvarez-Melis, Lester Mackey:
Adapting Language Models via Token Translation. - Li Li:
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR. - Evangelia Tzimpimpaki, Thrasyvoulos Spyropoulos:
Diversity in Network-Friendly Recommendations. - Po-Chuan Chen, Mahdin Rohmatillah, You-Teng Lin, Jen-Tzung Chien:
ConvCounsel: A Conversational Dataset for Student Counseling. - Yunming Hui, Inez Maria Zwetsloot, Simon Trimborn, Stevan Rudinac:
Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks. - Xiang Li, Cheng Chen, Yuan-Yao Lou, Mustafa Abdallah, Kwang Taik Kim, Saurabh Bagchi:
HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices. - Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu:
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation. - Yu Tai, Xinglong Wu, Hongwei Yang, Hui He, Duanjing Chen, Yuanming Shao, Weizhe Zhang:
How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method. - Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang:
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. - Vladimir Billig:
Apriori_Goal algorithm for constructing association rules for a database with a given classification. - John G. Whitington, Tom Ridge:
Visualizing the Evaluation of Functional Programs for Debugging. - Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li:
Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement. - Huancheng Chen, Jingtao Li, Nidham Gazagnadou, Weiming Zhuang, Chen Chen, Lingjuan Lyu:
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models. - Zeyuan Ma, Hongshu Guo, Yue-Jiao Gong, Jun Zhang, Kay Chen Tan:
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization. - Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu:
ZIM: Zero-Shot Image Matting for Anything. - Yuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan Wagemans:
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks. - Zerui Wang, Yan Liu:
STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models. - Jasper Roe, Mike Perkins:
Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis. - Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, Xuequan Lu:
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding. - Ali Ebrahimi Pourasad, Walid Maalej:
Does GenAI Make Usability Testing Obsolete? - Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko:
Variational Neural Stochastic Differential Equations with Change Points. - Talaya Farasat, Atiqullah Ahmadzai, Aleena Elsa George, Sayed Alisina Qaderi, Dusan Dordevic, Joachim Posegga:
SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python. - John Whitington:
Debugging Functional Programs by Interpretation. - Zhen Yao, Mooi Choo Chuah:
Event-guided Low-light Video Semantic Segmentation. - Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping, Shangguang Wang:
LLM-Based Misconfiguration Detection for AWS Serverless Computing. - Ramakant Kumar:
Transforming Agriculture: Exploring Diverse Practices and Technological Innovations. - Houjing Wei, Hakaze Cho, Yuting Shi, Naoya Inoue:
Phase Diagram of Vision Large Language Models Inference: A Perspective from Interaction across Image and Instruction. - Matteo Ferrari, Sara Fraschini, Gabriele Loli, Ilaria Perugia:
Unconditionally stable space-time isogeometric discretization for the wave equation in Hamiltonian formulation. - Hah Min Lew, Sahng-Min Yoo, Hyunwoo Kang, Gyeong-Moon Park:
Towards High-fidelity Head Blending with Chroma Keying for Industrial Applications. - Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal:
Rethinking Node Representation Interpretation through Relation Coherence. - Negin Musavi, Ziyao Guo, Geir E. Dullerud, Yingying Li:
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees. - Hongzhe Yu, Diana Frias Franco, Aaron M. Johnson, Yongxin Chen:
Path Integral Control for Hybrid Dynamical Systems. - Hongjun An, Yiliang Song, Xuelong Li:
Physics in Next-token Prediction. - Jingming Guo, Yan Liu, Yu Meng, Zhiwei Tao, Banglan Liu, Gang Chen, Xiang Li:
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimization. - Charlie B. Tan, Edan Toledo, Benjamin Ellis, Jakob N. Foerster, Ferenc Huszár:
Beyond the Boundaries of Proximal Policy Optimization. - Bryan S. Guevara, Viviana Moya, Luis F. Recalde, David Pozo-Espin, Daniel Ceferino Gandolfo, Juan Marcos Toibero:
Model Predictive Contouring Control with Barrier and Lyapunov Functions for Stable Path-Following in UAV systems. - Jane Greenberg, Kio Polson, Scott McClellan, Xintong Zhao, Alex Kalinowski, Yuan An:
Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT. - Kio Polson, Marina Potapova, Uttam Meena, Chad Peiper, Joshua Brown, Joshua Agar, Jane Greenberg:
Making Sense of Metadata Mess: Alignment & Risk Assessment for Diatom Data Use Case. - Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira:
Zipfian Whitening. - Sarah Al-Shareeda, Khayal Huseynov, Lal Verda Çakir, Craig Thomson, Mehmet Özdem, Berk Canberk:
AI-based traffic analysis in digital twin networks. - Catherine Mulligan, Giaime Berti, Seema Gadh Kumar:
Community-Based Resilience: Digital Technologies for Living within Planetary Boundaries. - Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs:
TaxaBind: A Unified Embedding Space for Ecological Applications. - Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska:
Explainable few-shot learning workflow for detecting invasive and exotic tree species. - Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho:
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. - Evangelos Papoutsellis, Zeljko Kereta, Kostas Papafitsoros:
Why do we regularise in every iteration for imaging inverse problems? - Qingfei Zhao, Ruobing Wang, Xin Wang, Daren Zha, Nan Mu:
Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval. - Linda Zeng:
Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis. - Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu:
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis. - Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos:
Wasserstein Flow Matching: Generative modeling over families of distributions. - Leif Feddersen:
Algorithmic Transparency in Forecasting Support Systems. - Armin Pournaki, Tom Willaert:
A graph-based approach to extracting narrative signals from public discourse. - Mohammad Bajelani, Walter Lucia, Klaske van Heusden:
Set-Theoretic Direct Data-driven Predictive Control. - Bipasha Sen, Michelle Wang, Nandini Thakur, Aditya Agarwal, Pulkit Agrawal:
Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck. - Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon:
ReMatching Dynamic Reconstruction Flow. - Thanh Nguyen-Tang, Raman Arora:
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. - Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, Homayoun Najjaran:
Debiasify: Self-Distillation for Unsupervised Bias Mitigation. - Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele:
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. - Saurav R. Pandey, Aaqib Saeed, Harlin Lee:
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. - Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang:
Token-level Proximal Policy Optimization for Query Generation. - Laura Wenderoth:
Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks. - Hamees Ul Hasan Sayed, Advait Joglekar, Srinivasan Umesh:
SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task. - Mohammad Feizabadi, Arman Hosseini, Zakaria Yahouni:
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing. - Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joseph Lemley, Peter Corcoran:
Autobiasing Event Cameras. - Haibin Wu, Wenming Li, Kai Yan, Zhihua Fan, Peiyang Wu, Yuqun Liu, Yanhuan Liu, Ziqing Qiang, Meng Wu, Kunming Liu, Xiaochun Ye, Dongrui Fan:
Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation. - Carl Edwards, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Heng Ji, Gabriele Scalia:
MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction. - Messiah Abolfazli Esfahani, Ayse Basar, Sajad Saeedi:
FG-PE: Factor-graph Approach for Multi-robot Pursuit-Evasion. - Mohammed Alsubeihi, Arthur Jessop, Ben Moseley, Cláudio P. Fonte, Ashwin Kumar Rajagopalan:
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations. - Aashiq Muhamed, Mona Diab, Virginia Smith:
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models. - Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li:
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation. - Tayyebeh Jahani-Nezhad, Parsa Moradi, Mohammad Ali Maddah-Ali, Giuseppe Caire:
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace. - Yiwen Ding, Zhiheng Xi, Wei He, Zhuoyuan Li, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang:
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Junyoung Jang, Brigitte Pientka:
Polymorphic Metaprogramming with Memory Management - An Adjoint Analysis of Metaprogramming. - Xiaoya Tang, Jake Bergquist, Benjamin Steinberg, Tolga Tasdizen:
Hierarchical Transformer for Electrocardiogram Diagnosis. - Etrit Haxholli, Yeti Ziya Gürbüz, Ogul Can, Eli Waxman:
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching. - Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Hanwei Kung, Tuomas Varanka, Sanjay Saha, Terence Sim, Nicu Sebe:
Face Anonymization Made Simple. - Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. - Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang:
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes. - Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer:
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. - Xiong Wang, Yangze Li, Chaoyou Fu, Yunhang Shen, Lei Xie, Ke Li, Xing Sun, Long Ma:
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM. - Yuval Dagan, Michael I. Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy:
Dimension-free Private Mean Estimation for Anisotropic Distributions. - Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Randomized Autoregressive Visual Generation. - Hamid Eghbalzadeh, Shuai Shao, Saurabh Verma, Venugopal Mani, Hongnan Wang, Jigar Madia, Vitali Karpinchyk, Andrey Malevich:
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models. - Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen:
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. - Qianggang Ding, Haochen Shi, Bang Liu:
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs. - Hani Alers, Aleksandra Malinowska, Mathis Mourey, Jasper Waaijer:
From chalkboards to chatbots: SELAR assists teachers in embracing AI in the curriculum. - Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov:
FIRE: Fact-checking with Iterative Retrieval and Verification. - Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian:
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI. - Hao Kang, Tevin Wang, Chenyan Xiong:
Interpret and Control Dense Retrieval with Sparse Latent Features. - Wenbo Fan, Xiaotian Yan, Zhanbo Sun, Xiaohui Yang:
Novel operational algorithms for ride-pooling as on-demand feeder services. - Xiping Liu, Zhao Tan:
KeyInst: Keyword Instruction for Improving SQL Formulation in Text-to-SQL. - Diyi Liu, Ankur Shiledar, Hyeonsup Lim, Vivek Sujan, Adam Siekmann, Junchuan Fan, Lee D. Han:
An Iterative Algorithm to Impute Truck Information over Nationwide Traffic Networks. - Liuquan Yao, Pei Yang, Zhichao Liu, Wenyan Li, Jianghua Liu, Zhi-Ming Ma:
Erlang Model for Multiple Data Streams (Full Version). - Igor Katrichek:
HOUND: High-Order Universal Numerical Differentiator for a Parameter-free Polynomial Online Approximation. - Xinli Guo:
Sentiment Analysis Based on RoBERTa for Amazon Review: An Empirical Study on Decision Making. - Guy Mouanda:
Unseen Power of Information Assurance over Information Security. - Xia Chen, Guoquan Lv, Xinwei Zhuang, Carlos Duarte, Stefano Schiavon, Philipp Geyer:
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal. - Stanley Mugisha, Lynn tar Gutu, P. Nagabhushan:
An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement. - Hao Wang, Jiajun Zhong, Yikun Li, Junrong Zhang, Rong Du:
Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws. - Patrick Erik Bradley, Angel Alfredo Moran Ledezma:
Approximating Diffusion on Finite Multi-Topology Systems Using Ultrametrics. - Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu:
Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. - Marc Blancafort, Roger Ferrer, Guillaume Houzeaux, Marta Garcia-Gasulla, Filippo Mantovani:
Exploiting long vectors with a CFD code: a co-design show case. - Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang:
CycleResearcher: Improving Automated Research via Automated Review. - Alain Andres, Aitor Martínez-Seras, Ibai Laña, Javier Del Ser:
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications. - Roger Arnau, J. M. Calabuig, Lluís Miquel Garcia-Raffi, Enrique Alfonso Sánchez-Pérez, S. Sanjuan:
A Bellman-Ford algorithm for the path-length-weighted distance in graphs. - Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang:
AutoGLM: Autonomous Foundation Agents for GUIs. - Shriyan Reyya, Yao Cheng:
ROADFIRST: A Comprehensive Enhancement of the Systemic Approach to Safety for Improved Risk Factor Identification and Evaluation. - Kang Yin, Hye-Bin Shin, Dan Li, Seong-Whan Lee:
EEG-based Multimodal Representation Learning for Emotion Recognition. - Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan:
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models. - Cheng Qiu:
Leaving Some Facial Features Behind. - Ya-Ting Yang, Tao Li, Quanyan Zhu:
Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation. - Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu:
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning. - Ruofan Wang, Bo Wang, Xiaosen Wang, Xingjun Ma, Yu-Gang Jiang:
IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves. - Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, Johannes Mehrer, Martin Schrimpf:
Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data. - Teerath Kumar, Alessandra Mileo, Malika Bendechache:
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity. - M. M. Akash, Rahul Deb Mohalder, Md. Al Mamun Khan, Laboni Paul, Ferdous Bin Ali:
Yoga Pose Classification Using Transfer Learning. - Haitz Sáez de Ocáriz Borde, Artem Lukoianov, Anastasis Kratsios, Michael M. Bronstein, Xiaowen Dong:
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning. - Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang:
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models. - Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. - Jiaqi Wu, Simin Chen, Zehua Wang, Wei Chen, Zijian Tian, F. Richard Yu, Victor C. M. Leung:
Task-Oriented Real-time Visual Inference for IoVT Systems: A Co-design Framework of Neural Networks and Edge Deployment. - Hichem Debbi:
CausAdv: A Causal-based Framework for Detecting Adversarial Examples. - Sabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick James Tighe, Catherine C. Price, Parisa Rashidi:
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. - Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang:
A Theoretical Perspective for Speculative Decoding Algorithm. - Pierre-Étienne H. Fiquet, Eero P. Simoncelli:
Video prediction using score-based conditional density estimation. - Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan:
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation. - Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han:
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting. - Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo:
End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. - Ahmed M. Salih:
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity. - Stephan Spengler:
Reachability and Safety Games under TSO Semantics. - Juntao Xu, Tianxiang Zhan, Yong Deng:
Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets. - Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang:
GWQ: Gradient-Aware Weight Quantization for Large Language Models. - Romina Wild, Vittorio Del Tatto, Felix Wodaczek, Bingqing Cheng, Alessandro Laio:
Automatic feature selection and weighting using Differentiable Information Imbalance. - Zihang Qiu, Chaojie Li, Zhongyang Wang, Huadong Mo, Renyou Xie, Guo Chen, Zhaoyang Dong:
FPE-LLM: Highly Intelligent Time-Series Forecasting and Language Interaction LLM in Energy Systems. - Haim Barad, Jascha Achterberg, Tien Pei Chou, Jean Yu:
Accelerated AI Inference via Dynamic Execution Methods. - Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu:
Vision-Language Models Can Self-Improve Reasoning via Reflection. - Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, Tucker Balch:
AI in Investment Analysis: LLMs for Equity Stock Ratings. - Siwen Quan, Junhao Yu, Ziming Nie, Muze Wang, Sijia Feng, Pei An, Jiaqi Yang:
Deep Learning for 3D Point Cloud Enhancement: A Survey. - Vahideh Hayyolalam, Öznur Özkasap:
DiabML: AI-assisted diabetes diagnosis method with meta-heuristic-based feature selection. - Juan Marcelo Parra Ullauri, Oscar Dilley, Hari Madhukumar, Dimitra Simeonidou:
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems. - Siddhesh Pawar, Junyeong Park, Jiho Jin, Arnav Arora, Junho Myung, Srishti Yadav, Faiz Ghifari Haznitrama, Inhwa Song, Alice Oh, Isabelle Augenstein:
Survey of Cultural Awareness in Language Models: Text and Beyond. - Levi Harris:
A Simple and Effective Temporal Grounding Pipeline for Basketball Broadcast Footage. - Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Vinicius Lima, Umit Karabiyik:
Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches. - Nirmal Joshua Kapu, Mihit Sreejith:
DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models. - Brandon J. Price, Jason Adleberg, Kaesha Thomas, Zach Zaiman, Aawez Mansuri, Beatrice Brown-Mulry, Chima Okechukwu, Judy Gichoya, Hari Trivedi:
Emory Knee Radiograph (MRKR) Dataset. - Tristan Trim, Triston Grayston:
Mechanistic Interpretability of Reinforcement Learning Agents. - José-Fabian Villa-Vásquez, Marco Pedersoli:
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy. - Lovis Kwasi Armah, Igor Melnykov:
K-Means Clustering With Incomplete Data with the Use of Mahalanobis Distances. - Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim:
LLaMo: Large Language Model-based Molecular Graph Assistant. - Yeachan Kim, Junho Kim, SangKeun Lee:
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning. - Wentao Zhang, Jingyuan Wang, Yifan Yang, Leong Hou U:
VecCity: A Taxonomy-guided Library for Map Entity Representation Learning. - Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser:
Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams. - Marek Vlk, Marek Jaros, Zdenek Hanzálek:
Revisiting the Schedule Graph Generation for the Exact and Sustainable Analysis of Non-preemptive Scheduling. - Phil Wee, Riyadh Baghdadi:
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models. - Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng:
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room. - Shimin Chen, Wei Li, Jiaming Chu, Chen Chen, Chen Zhang, Yandong Guo:
Technical Report for SoccerNet Challenge 2022 - Replay Grounding Task. - Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li, Chen Chen, Wei Shen:
Technical Report for Soccernet 2023 - Dense Video Captioning. - Shimin Chen, Wei Li, Jianyang Gu, Chen Chen, Yandong Guo:
Technical Report for ActivityNet Challenge 2022 - Temporal Action Localization. - Nishanth Basava:
Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture. - Chunyan Mu, Nir Oren:
Measuring Responsibility in Multi-Agent Systems. - Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans-Arno Jacobsen:
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees. - Marcello Carammia, Stefano Maria Iacus, Giuseppe Porro:
Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research. - Song Yu, Xiaofei Xu, Fangfei Xu, Li Li:
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback. - Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh, Hyun Jong Yang:
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models. - Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu:
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. - Yilei Man, Linhai Xie, Shushan Qiao, Yumei Zhou, Delong Shang:
Differentiable architecture search with multi-dimensional attention for spiking neural networks. - Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang:
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering. - Jaskirat Singh, Bram Adams, Ahmed E. Hassan:
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance. - Boming Kang, Qinghua Cui:
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples. - Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church:
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models. - Liang Mi, Weijun Wang, Wenming Tu, Qingfeng He, Rui Kong, Xinyu Fang, Yazhu Dong, Yikang Zhang, Yunchun Li, Meng Li, Haipeng Dai, Guihai Chen, Yunxin Liu:
V-LoRA: An Efficient and Flexible System Boosts Vision Applications with LoRA LMM. - Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Niloufar Delfan, Nadia Mohammadi, Alireza Samari, Behzad Moshiri, Md. Jalil Piran, Oliver Faust:
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering. - Nam V. Nguyen, Thong T. Doan, Luong Tran, Van Nguyen, Quang Pham:
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models. - Shakir Khurshid, Bharath Kumar Loganathan, Matthieu Duvinage:
Comparative Evaluation of Applicability Domain Definition Methods for Regression Models. - Vardhan Dongre, Xiaocheng Yang, Emre Can Acikgoz, Suvodip Dey, Gokhan Tur, Dilek Hakkani-Tür:
ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents. - Ming-Chih Lo, Ching Chang, Wen-Chih Peng:
Text2Freq: Learning Series Patterns from Text via Frequency Domain. - Md. Asraful Haque:
LLMs: A Game-Changer for Software Engineers? - Ho-Chun Herbert Chang, Benjamin Shaman, Yung-chun Chen, Mingyue Zha, Sean Noh, Chiyu Wei, Tracy Weener, Maya Magee:
Generative Memesis: AI Mediates Political Memes in the 2024 USA Presidential Election. - Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong:
Higher-Order Causal Message Passing for Experimentation with Complex Interference. - Jose A. Guridi, Angel Hsing-Chi Hwang, Duarte Santo, Maria Goula, Cristobal Cheyre, Lee Humphreys, Marco Rangel:
From Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces. - Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang:
Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. - Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Emmanuel Beaudry Marchand, Toumadher Ammar, Shin Koseki:
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces. - Duy Nhat Phan, Sushant Jha, James P. Mavo, Erin L. Lanigan, Linh Nguyen, Lokendra Poudel, Rahul Bhowmik:
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing. - Catherine Moez:
Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring. - Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj S. Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, Stan Birchfield:
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation. - Larissa Barbosa L. Pinheiro, Sávio Freire, Rita Suzana Pitangueira Maciel, Manoel G. Mendonça, Marcos Kalinowski, Zadia Codabux, Rodrigo O. Spínola:
Attributes of a Great Requirements Engineer. - Parham Jafary, Anna Bazangeya, Michelle Pham, Lesley G. Campbell, Sajad Saeedi, Kourosh Zareinia, Habiba Bougherara:
Raspberry PhenoSet: A Phenology-based Dataset for Automated Growth Detection and Yield Estimation. - Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cédric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman:
Incremental IVF Index Maintenance for Streaming Vector Search. - Simon David Noel Rampp, Manuel Milling, Andreas Triantafyllopoulos, Björn W. Schuller:
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning. - Sarthak Giri, Sneha Chaudhary, Bikalpa Gautam:
Analyzing Social Networks of Actors in Movies and TV Shows. - Macarious Hui, Jinda Zhang, Aanchan Mohan:
Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO. - Kathryn T. Farrell, Kirsten Ziman, Michael S. A. Graziano:
Improving How Agents Cooperate: Attention Schemas in Artificial Neural Networks. - Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda:
Inter-Feature-Map Differential Coding of Surveillance Video. - Jiaqi Wu, Simin Chen, Yuzhe Yang, Yijiang Li, Shiyue Hou, Rui Jing, Zehua Wang, Wei Chen, Zijian Tian:
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models. - Robert Long, Jeff Sebo, Patrick Butlin, Kathleen Finlinson, Kyle Fish, Jacqueline Harding, Jacob Pfau, Toni Sims, Jonathan Birch, David Chalmers:
Taking AI Welfare Seriously. - Nicola Dall'Asen, Yiming Wang, Enrico Fini, Elisa Ricci:
Retrieval-enriched zero-shot image classification in low-resource domains. - Samuel A. Moore, Brian P. Mann, Boyuan Chen:
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings. - Zachary H. Hendrix, Peter T. Brown, Tim Flanagan, Douglas Shepherd, Ayush Saurabh, Steve Pressé:
Re-thinking Richardson-Lucy without Iteration Cutoffs: Physically Motivated Bayesian Deconvolution. - Shengren Hou, Peter Palensky, Pedro P. Vergara:
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks. - Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi:
Identifying Implicit Social Biases in Vision-Language Models. - Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville:
Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology. - Gavia Gray, Aman Tiwari, Shane Bergsma, Joel Hestness:
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers. - Tobias Egle, Yashuai Yan, Dongheui Lee, Christian Ott:
Enhancing Model-Based Step Adaptation for Push Recovery through Reinforcement Learning of Step Timing and Region. - Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius:
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Emely Rosbach, Jonas Ammeling, Sebastian Krügel, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Chloé Puget, Taryn A. Donovan, Andrea Klang, Maximilian C. Köller, Pompei Bolfa, Marco Tecilla, Daniela Denk, Matti Kiupel, Georgios Paraschou, Mun Keong Kok, Alexander F. H. Haake, Ronald R. de Krijger, Andreas F.-P. Sonnen, Tanit Kasantikul, Gerry M. Dorrestein, Rebecca C. Smedley, Nikolas Stathonikos, Matthias Uhl, Christof A. Bertram, Andreas Riener, Marc Aubreville:
When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. - Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman:
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. - Mingi Jeong, Arihant Chadda, Alberto Quattrini Li:
Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters. - Chenxing Zhong, Daniel Feitosa, Paris Avgeriou, Huang Huang, Yue Li, He Zhang:
PairSmell: A Novel Perspective Inspecting Software Modular Structure. - Ismail Hakki Karaman, Gulser Koksal, Levent Eriskin, Salih Salihoglu:
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data. - Luigi Penco, Kazuhiko Momose, Stephen McCrory, Dexton Anderson, Nicholas Kitchel, Duncan Calvert, Robert J. Griffin:
Mixed Reality Teleoperation Assistance for Direct Control of Humanoids. - Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan:
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Hithesh Sankararaman, Mohammed Yasin, Tanner Sorensen, Alessandro Di Bari, Andreas Stolcke:
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output. - Gerard Pons, Besim Bilalli, Anna Queralt:
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs. - Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro:
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. - Ahmet Yusuf Salim, Bart Selman, Henry A. Kautz, Zeljko Ignjatovic, Selçuk Köse:
SKI-SAT: A CMOS-compatible Hardware for Solving SAT Problems. - Hiroki Takizawa:
Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay. - Sam Blouir, Jimmy T. H. Smith, Antonios Anastasopoulos, Amarda Shehu:
Birdie: Advancing State Space Models with Reward-Driven Objectives and Curricula. - Dongcheng Li, W. Eric Wong, Hu Liu, Man Zhao:
Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks. - Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan:
Provable Length Generalization in Sequence Prediction via Spectral Filtering. - Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham:
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference. - Alireza Kazemi, Reza Rohani Sarvestani:
AGISim, An Open Source Airborne Gimbal Mounted IMU Signal Simulator Considering Flight Dynamics Model. - Lixiao Yang, Mengyang Xu, Weimao Ke:
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions. - Jiahao Xu, Zikai Zhang, Rui Hu:
Identify Backdoored Model in Federated Learning via Individual Unlearning. - Dan Hendrycks:
Introduction to AI Safety, Ethics, and Society. - Yuqing Zhou, Ziwei Zhu:
Towards Robust Text Classification: Mitigating Spurious Correlations with Causal Learning. - Sanghyun Byun, Jacob Song, Woo Seong Chung:
MultiDepth: Multi-Sample Priors for Refining Monocular Metric Depth Estimations in Indoor Scenes. - Daniel Nguyen, Myke C. Cohen, Hsien-Te Kao, Grant Engberson, Louis Penafiel, Spencer Lynch, Svitlana Volkova:
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development. - Sushilkumar Yadav, Irem Bor-Yaliniz:
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks. - Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath:
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities. - Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink:
Combining Physics-based and Data-driven Modeling for Building Energy Systems. - Zhuofang Li, Rafal Kocielnik, Mitchell Linegar, Deshawn Sambrano, Fereshteh Soltani, Min Kim, Nabiha Naqvie, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez:
Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. - Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe Roseiro Côgo, Bram Adams:
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation. - Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques:
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data. - Varun Badrinath Krishna:
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs. - Tuan Ngo, Abid Hassan, Saad Shafiq, Nenad Medvidovic:
Improving DNN Modularization via Activation-Driven Training. - Runsheng Benson Guo, Utkarsh Anand, Arthur Chen, Khuzaima Daudjee:
Cephalo: Harnessing Heterogeneous GPU Clusters for Training Transformer Models. - Jiankun Wei, Abdulrahman Abdulrazzag, Tianchen Zhang, Adel Muursepp, Gururaj Saileshwar:
Privacy Risks of Speculative Decoding in Large Language Models. - Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson:
Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection. - Fin Gentzen, Mounir Bensalem, Admela Jukan:
Effective ML Model Versioning in Edge Networks. - Brian R. Y. Huang:
Plentiful Jailbreaks with String Compositions. - Damien Tageddine, Jean-Christophe Nave:
Structure preserving discretization: A Berezin-Toeplitz Quantization viewpoint. - Miria Feng, Zachary Frangella, Mert Pilanci:
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks. - Jordan Malek:
An Implementation and Experimental Comparison of Dynamic Ordered Sets. - Rami Aly, Andreas Vlachos:
TabVer: Tabular Fact Verification with Natural Logic. - Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement. - Adam Byerly, Daniel Khashabi:
How Effective Is Self-Consistency for Long-Context Problems? - Yongpan Wang, Hong Li, Xiaojie Zhu, Siyuan Li, Chaopeng Dong, Shouguo Yang, Kangyuan Qin:
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search. - Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. - Arnab Tarafder, Yidong Gong, Pradeep Kumar:
Using Half-Precision for GNN Training. - Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng:
Rule Based Rewards for Language Model Safety. - Xin Tian, Zhi Fang, Yi Shao:
Flexural Behavior and Design of Prestressed Ultra-High Performance Concrete (UHPC) Beams: Failure Mode and Ductility. - Bin Lei, Yuchen Li, Yiming Zeng, Tao Ren, Yi Luo, Tianyu Shi, Zitian Gao, Zeyu Hu, Weitai Kang, Qiuwu Chen:
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage. - Shihong Song, Guanlin Mo, Qingyuan Yang, Hu Ding:
Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. - Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers:
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging. - Md Abu Bakr Siddique, Jiayi Wu, Ioannis M. Rekleitis, Md Jahidul Islam:
AquaFuse: Waterbody Fusion for Physics Guided View Synthesis of Underwater Scenes. - Tengyu Hou, Hanming Bai, Ye Ding, Han Ding:
Generation of Conservative Dynamical Systems Based on Stiffness Encoding. - Anil Sharma, Freeman Chen, Jaesun Noh, Julio DeJesus, Mario Schlener:
Hedging and Pricing Structured Products Featuring Multiple Underlying Assets. - Qing Zhong, Guodong Ding, Angela Yao:
OnlineTAS: An Online Baseline for Temporal Action Segmentation. - Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios. - Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy:
Axiomatic Explainer Globalness via Optimal Transport. - Soichiro Ueda, Ai Nozaki, Daisuke Kotani, Yasuo Okabe:
Mewz: Lightweight Execution Environment for WebAssembly with High Isolation and Portability using Unikernels. - Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals. - Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji:
Music Foundation Model as Generic Booster for Music Downstream Tasks. - Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? - Ege Erdil, David Schneider-Joseph:
Data movement limits to frontier model training. - Rujiao Long, Pengfei Wang, Zhibo Yang, Cong Yao:
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction. - Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani:
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. - Hongyuan Lu, Zixuan Li, Wai Lam:
Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models. - Xuanlin Jiang, Yang Zhou, Shiyi Cao, Ion Stoica, Minlan Yu:
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference. - Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Rui Yan:
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns. - Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. - Sonit Singh:
Designing a Robust Radiology Report Generation System. - Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. - Shijia Liao, Yuxuan Wang, Tianyu Li, Yifan Cheng, Ruoyi Zhang, Rongzhi Zhou, Yijin Xing:
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis. - Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao:
Negative-Free Self-Supervised Gaussian Embedding of Graphs. - Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang:
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit Niyato:
Supervised Score-Based Modeling by Gradient Boosting. - Weifan Long, Wen Wen, Peng Zhai, Lihua Zhang:
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions. - Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao:
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. - Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. - Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang:
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei Huang, Kaizhu Huang, Qiu-Feng Wang:
Covariance-based Space Regularization for Few-shot Class Incremental Learning. - Mikolaj Malkinski, Szymon Pawlonka, Jacek Mandziuk:
Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems. - Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang:
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research. - Yang Yan, Yihao Wang, Chi Zhang, Wenyuan Hou, Kang Pan, Xingkai Ren, Zelun Wu, Zhixin Zhai, Enyun Yu, Wenwu Ou, Yang Song:
LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models. - Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli:
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models. - Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang:
Graph Cross-Correlated Network for Recommendation. - Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu:
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping. - Liao Zhang, David M. Cerna, Cezary Kaliszyk:
Learning Rules Explaining Interactive Theorem Proving Tactic Prediction. - Ziyun Chen, Zhiyi Huang, Dongchen Li, Zhihao Gavin Tang:
Prophet Secretary and Matching: the Significance of the Largest Item. - Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, Fakhraddin Alwajih, Muhammad Abdul-Mageed:
Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks. - Xuyang Zhang, Xinwei Yue, Zhihao Han, Tian Li, Xia Shen, Yafei Wang, Rongke Liu:
Relay Satellite Assisted LEO Constellation NOMA Communication System. - Tobias Strangmann, Lennart Purucker, Jörg K. H. Franke, Ivo Rapant, Fabio Ferreira, Frank Hutter:
Transfer Learning for Finetuning Large Language Models. - Siyu Xie, Die Gan, Zhixin Liu:
Stability analysis of distributed Kalman filtering algorithm for stochastic regression model. - Haoran Lu, Ruihai Wu, Yitong Li, Sijie Li, Ziyu Zhu, Chuanruo Ning, Yan Shen, Longzan Luo, Yuanpei Chen, Hao Dong:
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation. - Jesus S. Aguilar-Ruiz, Cayetano Romero, Andrea Cicconardi:
XNB: Explainable Class-Specific NaIve-Bayes Classifier. - Jesús S. Aguilar-Ruiz:
Class-specific feature selection for classification explainability. - Jianyu Liu, Sheng Bi, Guilin Qi:
PRIMO: Progressive Induction for Multi-hop Open Rule Generation. - Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han:
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. - Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi:
Infinite-Resolution Integral Noise Warping for Diffusion Models. - Tathagato Roy, Rahul Mishra:
One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization. - Aoqian Zhang, Zexue Wu, Yifeng Gong, Ye Yuan, Guoren Wang:
Multivariate Time Series Cleaning under Speed Constraints. - Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo:
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies. - Fengze Li, Jishuai He, Jieming Ma, Zhijing Wu:
Real-Time Spatio-Temporal Reconstruction of Dynamic Endoscopic Scenes with 4D Gaussian Splatting. - Luke Marks, Alasdair Paren, David Krueger, Fazl Barez:
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders. - Baizhou Huang, Xiao Pu, Xiaojun Wan:
B4: A Black-Box Scrubbing Attack on LLM Watermarks. - Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji:
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification. - Wang Zhao, Jiachen Liu, Sheng Zhang, Yishu Li, Sili Chen, Sharon X. Huang, Yong-Jin Liu, Hengkai Guo:
MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction. - Sruthi Viswanathan, Seray B. Ibrahim, Ravi Shankar, Reuben Binns, Max Van Kleek, Petr Slovák:
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems. - Ka Wai Wu:
Strengthening DeFi Security: A Static Analysis Approach to Flash Loan Vulnerabilities. - Enrique García-Macías, Z. D. Harris, Emilio Martínez-Pañeda:
TDS Simulator: A MATLAB App to model temperature-programmed hydrogen desorption. - BenLong Wu, Guoqiang Chen, Kejiang Chen, Xiuwei Shang, Jiapeng Han, Yanru He, Weiming Zhang, Nenghai Yu:
AutoPT: How Far Are We from the End2End Automated Web Penetration Testing? - Andy Lo:
Efficient Sparse Training with Structured Dropout. - Breno Matos, Francisco Galuppo, Rennan Cordeiro, Flavio Figueiredo:
I've Heard This Before: Initial Results on Tiktok's Impact On the Re-Popularization of Songs. - Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek:
Optimizing Federated Learning by Entropy-Based Client Selection. - Guilherme Soares S. dos Santos, Flavio Figueiredo:
Assessing the Impact of Sampling, Remixes, and Covers on Original Song Popularity. - Dongxu Liu, Bing Xu, Yinzhuo Chen, Bufan Xu, Wenpeng Lu, Muyun Yang, Tiejun Zhao:
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment. - Shahram Ghandeharizadeh, Sandy Irani, Jenny Lam, Jason Yap:
CAMP: A Cost Adaptive Multi-Queue Eviction Policy for Key-Value Stores. - Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould:
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame. - Raquel Meister Ko Freitag:
Diversidade linguística e inclusãao digital: desafios para uma ia brasileira. - Xingming Long, Jie Zhang, Shiguang Shan:
Confidence Aware Learning for Reliable Face Anti-spoofing. - Zhenkai Qin, Qining Luo, Xunyi Nong:
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework. - Batuhan Cengiz, Halil Faruk Karagoz, Tufan Kumbasar:
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation. - Mingze Gong, Lei Chen, Jia Li:
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations. - Shahram Ghandeharizadeh, Philip A. Bernstein, Dhruba Borthakur, Haoyu Huang, Jai Menon, Sumit Puri:
Disaggregated Database Management Systems. - Adit Jain, Vikram Krishnamurthy:
Interacting Large Language Model Agents. Interpretable Models and Social Learning. - Borys Ioshchikhes, Michael Frank, Tresa Maria Joseph, Matthias Weigold:
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell. - Jian Wang, Lingzhi Wang, Husheng Yu, Xiangmin Shen, Yan Chen:
PARIS: A Practical, Adaptive Trace-Fetching and Real-Time Malicious Behavior Detection System. - Qingquan Lin, Weining Lu, Litong Meng, Chenxi Li, Bin Liang:
Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments. - Túlio Sousa de Gois, Flávia Oliveira Freitas, Julian Tejada, Raquel Meister Ko. Freitag:
NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom. - Seonil Son, Ju-Min Oh, Heegon Jin, Cheolhun Jang, Jeongbeom Jeong, Kuntae Kim:
Varco Arena: A Tournament Approach to Reference-Free Benchmarking Large Language Models. - Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman:
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. - Joshua A. Robbins, Jacob A. Siefert, Sean Brennan, Herschel C. Pangborn:
Mixed-Integer MPC-Based Motion Planning Using Hybrid Zonotopes with Tight Relaxations. - Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen:
HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy. - Maria J. P. Peixoto, Akramul Azim:
Uncertainty measurement for complex event prediction in safety-critical systems. - Charles K. Assaad:
Causal reasoning in difference graphs. - Rafal Karczewski, Markus Heinonen, Vikas Garg:
Diffusion Models as Cartoonists! The Curious Case of High Density Regions. - Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans:
Marginal Causal Flows for Validation and Inference. - Josue N. Rivera, Dengfeng Sun:
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems. - Chas Hamel, Md. Manjurul Ahsan, Shivakumar Raman:
PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing. - Wenpin Tang, Xun Yu Zhou:
Regret of exploratory policy improvement and q-learning. - Eleni Ilkou, Ernesto Jiménez-Ruiz:
Towards a Knowledge Graph for Teaching Knowledge Graphs. - Oliver Sheridan-Methven:
Multilevel Monte Carlo methods for simulating forward-backward stochastic differential equations using neural networks. - Diandian Guo, Cong Cao, Fangfang Yuan, Dakui Wang, Wei Ma, Yanbing Liu, Jianhui Fu:
Can Multimodal Large Language Model Think Analogically? - Beyazit Bestami Yuksel, Ayse Yilmazer-Metin:
ECG-PPS: Privacy Preserving Disease Diagnosis and Monitoring System for Real-Time ECG Signal. - Beyazit Bestami Yuksel, Ayse Yilmazer-Metin:
Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption. - Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai, Shaba Shaon, Md Raihan Uddin, Tien Nguyen, Dinh C. Nguyen, Aryan Kaushik, Periklis Chatzimisios:
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks. - Md Raihan Uddin, Ratun Rahman, Dinh C. Nguyen:
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning. - Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen:
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. - Minnan Zhou, Mustafa Shaikh, Vatsalya Chaubey, Patrick Haggerty, Shumon Koga, Dimitra Panagou, Nikolay Atanasov:
Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions. - Simon A. Lee, John Lee, Jeffrey N. Chiang:
FEET: A Framework for Evaluating Embedding Techniques. - Maria Despoina Siampou, Chrysovalantis Anastasiou, John Krumm, Cyrus Shahabi:
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach - Forget the Maps and Traffic! - Zhaoqiang Liu, Wen Li, Junren Chen:
Generalized Eigenvalue Problems with Generative Priors. - Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. - Ahmed Alharbi, Hai Dong, Xun Yi, Prabath Abeysekara:
Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles. - Kashish Shah, Patrick Gerard, Luca Luceri, Emilio Ferrara:
Unfiltered Conversations: A Dataset of 2024 U.S. Presidential Election Discourse on Truth Social. - Marcin Rabiza:
A Mechanistic Explanatory Strategy for XAI. - Tomoyuki Ehira, Daisuke Kotani, Yasuo Okabe:
Distributed Tracing for Cascading Changes of Objects in the Kubernetes Control Plane. - Atif Hussain, Rana Rizwan:
The Case for an Industrial Policy Approach to AI Sector of Pakistan for Growth and Autonomy. - Kosei Akama, Yoshimichi Nakatsuka, Korry Luke, Masaaki Sato, Keisuke Uehara:
RA-WEBs: Remote Attestation for WEB services. - Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque:
Convolutional Filtering with RKHS Algebras. - Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann:
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity. - Chathuri Jayaweera, Sangpil Youm, Bonnie J. Dorr:
AMREx: AMR for Explainable Fact Verification. - Zhiping Zhang, Bingcan Guo, Tianshi Li:
Can Humans Oversee Agents to Prevent Privacy Leakage? A Study on Privacy Awareness, Preferences, and Trust in Language Model Agents. - Aarjav Kavathia, Simeon Sayer:
Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks. - Oleg Kaidanov, Firas Al-Hafez, Yusuf Suvari, Boris Belousov, Jan Peters:
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control. - Hrithik Ravi, Clayton Scott, Daniel Soudry, Yutong Wang:
The Implicit Bias of Gradient Descent on Separable Multiclass Data. - Tim Ruschke, Jonathan Frederik Carlsen, Adam Espe Hansen, Ulrich Lindberg, Amalie Monberg Hindsholm, Martin Norgaard, Claes Nøhr Ladefoged:
Guided Synthesis of Labeled Brain MRI Data Using Latent Diffusion Models for Segmentation of Enlarged Ventricles. - Xiaoye Ma, Weiheng Liu, Changyi Zhao, Liliya R. Tukhvatulina:
Can Large Language Model Predict Employee Attrition? - Ali Elahi, Armin Zirak:
Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems. - Patrick Mesana, Clément Benesse, Hadrien Lautraite, Gilles Caporossi, Sébastien Gambs:
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles. - Jesús Bonita, Juan Vicente Gutiérrez-Santacreu:
Physics-based stabilized finite element approximations of the Poisson-Nernst-Planck equations. - Killian Mc Court, Xavier Mc Court, Shijia Du, Zhiguo Zeng:
Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data. - Salma M. Elsherif, Ahmad F. Taha:
Control Node Placement and Structural Controllability of Water Quality Dynamics in Drinking Networks. - Ali Elahi, Fatemeh Taghvaei:
Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models. - Djaber Rouabhia:
Artificial Intelligence Driven Course Generation: A Case Study Using ChatGPT. - Yufeng Wu, Rohit Bhattacharya:
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding. - Sohrab Namazi Nia, Frank Y. Shih:
Medical X-Ray Image Enhancement Using Global Contrast-Limited Adaptive Histogram Equalization. - Xiang Li, Changsheng Shui, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong:
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion. - Vadim Safronov, Ionut Bostan, Nicholas Allott, Andrew Martin:
How Memory-Safe is IoT? Assessing the Impact of Memory-Protection Solutions for Securing Wireless Gateways. - Kiarash Sedghighadikolaei, Attila A. Yavuz, Saif E. Nouma:
Signer-Optimal Multiple-Time Post-Quantum Hash-Based Signature for Heterogeneous IoT Systems. - Elena Gribelyuk, Pachara Sawettamalya, Hongxun Wu, Huacheng Yu:
Near-Optimal Relative Error Streaming Quantile Estimation via Elastic Compactors. - Abhijin Adiga, Ayush Chopra, Mandy L. Wilson, S. S. Ravi, Dawen Xie, Samarth Swarup, Bryan Lewis, Ramesh Raskar, Madhav V. Marathe:
A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread. - Xiaohan Liu, Cunxi Dai, John Z. Zhang, Arun L. Bishop, Zachary Manchester, Ralph Hollis:
Wallbounce : Push wall to navigate with Contact-Implicit MPC. - Roberto C. G. Porto, R. C. De Lamare:
Study of Iterative Detection and Decoding for RIS-Aided Multiuser Multi-Antenna Systems. - Max Bengtsson, Elif Keles, Gorkem Durak, Syed Anwar, Yuri S. Velichko, Marius G. Linguraru, Angela J. Waanders, Ulas Bagci:
A New Logic For Pediatric Brain Tumor Segmentation. - Giorgi Japaridze:
Thoughts on sub-Turing interactive computability. - Benjamin Smith, Tyler Pittman, Wei Xu:
Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments. - Yuanlin Duan, Guofeng Cui, He Zhu:
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning. - Zexin Pan:
Automatic optimal-rate convergence of randomized nets using median-of-means. - Kaiang Wen, Bin Xie, Bin Duan, Yan Yan:
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration. - Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys:
Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. - Aditya Pillai, Gabriel Ponte, Marcia Fampa, Jon Lee, Mohit Singh, Weijun Xie:
Computing Experiment-Constrained D-Optimal Designs. - Yun-Han Li, Jin Sima, Ilan Shomorony, Olgica Milenkovic:
Reducing Data Fragmentation in Data Deduplication Systems via Partial Repetition and Coding. - Wenzhao Qiu, Shanmin Pang, Hao Zhang, Jianwu Fang, Jianru Xue:
HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning. - Zirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao:
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning. - Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He:
PageRank Bandits for Link Prediction. - Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka, Juan Lavista Ferres:
Mapping Global Floods with 10 Years of Satellite Radar Data. - Ali Zeynali, Mahsa Sahebdel, Noman Bashir, Ramesh K. Sitaraman, Mohammad Hajiesmaili:
Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours. - Qihong Chen, Jiawei Li, Jiecheng Deng, Jiachen Yu, Justin Tian Jin Chen, Iftekhar Ahmed:
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why? - Mariam Rakka, Rachid Karami, Ahmed M. Eltawil, Mohammed E. Fouda, Fadi J. Kurdahi:
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network Acceleration. - Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz:
Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. - Yanlong Wang, Jian Xu, Fei Ma, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang:
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting. - Nan Zhang, Yutong Ye, Yuyang Wang, Xiang Lian, Mingsong Chen:
Effective Community Detection Over Streaming Bipartite Networks (Technical Report). - Duo Xu, Faramarz Fekri:
Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning. - Alice Qian Zhang, Judith Amores, Mary L. Gray, Mary Czerwinski, Jina Suh:
AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. - Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Guochu Xiong, Weichen Liu:
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. - Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang:
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning. - Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang, Pheng-Ann Heng, Chao Li, Minyi Guo:
HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference. - Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica:
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. - Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Online Relational Inference for Evolving Multi-agent Interacting Systems. - Miso Lee, Jihwan Kim, Jae-Pil Heo:
Activating Self-Attention for Multi-Scene Absolute Pose Regression. - Fei Wang, Chengcheng Chen, Hongyu Chen, Yugang Chang, Weiming Zeng:
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning. - Khac-Hoang Ngo, Diep N. Nguyen, Thai-Mai Dinh-Thi:
Protocol Design for Irregular Repetition Slotted ALOHA With Energy Harvesting to Maintain Information Freshness. - Joydeb Kumar Sana, M. Sohel Rahman, Mohammad Saifur Rahman:
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry. - Fan Ye, Qing Cheng, Weifeng Hao, Dayu Yu:
Reconstructing MODIS Normalized Difference Snow Index Product on Greenland Ice Sheet Using Spatiotemporal Extreme Gradient Boosting Model. - Shuvangkar Chandra Das, Tuyen Vu, Deepak Ramasubramanian, Evangelos Farantatos, Jianhua Zhang, Thomas Ortmeyer:
Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability. - Weijian Luo, Wei Deng:
Denoising Fisher Training For Neural Implicit Samplers. - Zirui Wang, Xinran Zhao, Simon Stepputtis, Woojun Kim, Tongshuang Wu, Katia P. Sycara, Yaqi Xie:
HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation. - Sahar Arabha, Davoud Sarani, Parviz Rashidi Khazaee:
Improving Deep Reinforcement Learning Agent Trading Performance in Forex using Auxiliary Task. - Mingrui Liu, Sixiao Zhang, Cheng Long:
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation. - Zhang Liu, Hongyang Du, Xiangwang Hou, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato, Khaled Ben Letaief:
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services. - Yueji Liu, Jun Jin, Wenhui Shu, Shiyong Li, Yongzhan He:
Mao: Machine learning approach for NUMA optimization in Warehouse Scale Computers. - Yuanyuan Wang, Xin Chen, Qingqin Nong:
The Fairness of Maximum Nash Social Welfare Under Matroid Constraints and Beyond. - Liang Bai, Hong Song, Yucong Lin, Tianyu Fu, Deqiang Xiao, Danni Ai, Jingfan Fan, Jian Yang:
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis. - Ying Dai:
Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation. - Yu Mao, Xueping Liao, Wei Liu, Anjia Yang:
A Practical and Privacy-Preserving Framework for Real-World Large Language Model Services. - Zian Qian, Chenyang Qi, Ka Lung Law, Hao Fu, Chenyang Lei, Qifeng Chen:
Adaptive Domain Learning for Cross-domain Image Denoising. - MD Shaikh Rahman, Feiroz Humayara, Syed Maudud E. Rabbi, Muhammad Mahbubur Rashid:
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification. - Langlin Huang, Mengyu Bu, Yang Feng:
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation. - Jinhao Liang, Chaopeng Tan, Longhao Yan, Jingyuan Zhou, Guodong Yin, Kaidi Yang:
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach. - Yukun Cao, Lisheng Wang, Luobing Huang:
DPCL-Diff: The Temporal Knowledge Graph Reasoning based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning. - Aakarsh Bansal, Bhuvanesh Singla, Raajan Rajesh Wankhade, Nagamma Patil:
Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy. - Purvi Gupta, Anant Narayanan:
Membership Queries for Convex Floating Bodies via Hilbert Geometry. - Liat Bezalel, Eyal Orgad, Amir Globerson:
Teaching Models to Improve on Tape. - Lu Qian, Yuqi Wang, Zimu Wang, Haiyang Zhang, Wei Wang, Ting Yu, Anh Nguyen:
Domain-specific Guided Summarization for Mental Health Posts. - Zuozhu Liu:
The Gap Between Greedy Algorithm and Minimum Multiplicative Spanner. - Huibiao Wen, Lei Wang, Yunxiao Zhang, Shuang-Min Chen, Shiqing Xin, Chongyang Deng, Ying He, Wenping Wang, Changhe Tu:
ITS: Implicit Thin Shell for Polygonal Meshes. - Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino:
Anomalous Client Detection in Federated Learning. - Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis:
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark. - Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min Lin:
Sample-Efficient Alignment for LLMs. - Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee:
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation. - Shengqi Wang, Junmin Liu, Xiangyong Cao, Zengjie Song, Kai Sun:
Polar R-CNN: End-to-End Lane Detection with Fewer Anchors. - Xinchi Han, Shizhen Zhao, Yongxi Lv, Peirui Cao, Weihao Jiang, Shengkai Lin, Xinbing Wang:
LumosCore: Highly Scalable LLM Clusters with Optical Interconnect. - Sandeep Sharma, Vinayak Ramkumar, Itzhak Tamo:
Quantum Locally Recoverable Codes via Good Polynomials. - Matthias Tangemann, Matthias Kümmerer, Matthias Bethge:
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. - Parikshit Pareek, L. P. M. I. Sampath, Anshuman Singh, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen:
Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation. - Karel Kleisner, Jaroslav Trnka, Petr Turecek:
FaceDig: Automated tool for placing landmarks on facial portraits for geometric morphometrics users. - Zhaohui Chen, Elyas Asadi Shamsabadi, Sheng Jiang, Luming Shen, Daniel Dias-da-Costa:
Integration of Large Vision Language Models for Efficient Post-disaster Damage Assessment and Reporting. - Alvaro Budria, Adrián López Rodríguez, Òscar Lorente, Francesc Moreno-Noguer:
InstantGeoAvatar: Effective Geometry and Appearance Modeling of Animatable Avatars from Monocular Video. - Rahul Prabhu, Amit Verma, Meera Sitharam:
Parallel Online Directed Acyclic Graph Exploration for Atlasing Soft-Matter Assembly Configuration Spaces. - Erik M. Lintunen, Nadia M. Ady, Christian Guckelsberger:
Diversity Progress for Goal Selection in Discriminability-Motivated RL. - Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia:
SinaTools: Open Source Toolkit for Arabic Natural Language Processing. - Gulabi Mandal, Anik Roy, Basabdatta Palit:
Performance Analysis of Resource Allocation Algorithms for Vehicle Platoons over 5G eV2X Communication. - Muhammad Ismail, Farkhanda Abbas, Shahid Munir Shah, Mahmoud Mohammad Aljawarneh, Lachhman Das Dhomeja, Fazila Abbas, Muhammad Shoaib, Abdulwahed Fahad Alrefaei, Mohammed Fahad Albeshr:
Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP. - Mika Hämäläinen:
DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPT. - Yahel Jacobs, Reut Dayan, Uri Shaham:
G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graph learning. - William F. Bradley:
Enhancing LLM Evaluations: The Garbling Trick. - Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang:
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction. - Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - William F. Bradley:
LLMs and the Madness of Crowds. - Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. - Jitesh Joshi, Sos S. Agaian, Youngjun Cho:
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing. - Peizheng Li, Xinyi Lin, Adnan Aijaz:
Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications. - Qihe Pan, Zhen Zhao, Zicheng Wang, Sifan Long, Yiming Wu, Wei Ji, Haoran Liang, Ronghua Liang:
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach. - Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li:
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment. - Langming Liu, Dingxuan Zhou:
Analysis of regularized federated learning. - Susanne C. Brenner, Li-Yeng Sung:
A New Error Analysis for Finite Element Methods for Elliptic Neumann Boundary Control Problems with Pointwise Control Constraints. - Han Wang, Binbin Chen, Tieying Zhang, Baoxiang Wang:
Learning to Construct Implicit Communication Channel. - Xiaoyi Su, Zhixin Zhou, Rui Luo:
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models. - Feng Mo, Lin Xiao, Qiya Song, Xieping Gao, Eryao Liang:
Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy. - Mingyue Jian, Siddharth Narayanaswamy:
Are LLMs good pragmatic speakers? - Xinyu Geng, Jiaming Wang, Jun Xu:
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. - Jiawei Zhao, Kejiang Chen, Weiming Zhang, Nenghai Yu:
SQL Injection Jailbreak: a structural disaster of large language models. - Faseeh Ahmad, Jonathan Styrud, Volker Krüger:
Addressing Failures in Robotics using Vision-Based Language Models (VLMs) and Behavior Trees (BT). - Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu:
Conditional Controllable Image Fusion. - Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf:
DELE: Deductive ℰℒ++ Embeddings for Knowledge Base Completion. - Maximilian Fleissner, Maedeh Zarvandi, Debarghya Ghoshdastidar:
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations. - Shuo Tan, Rui Liu, XianLei Long, Kai Wan, Linqi Song, Yong Li:
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs. - Minghao Li, Dmitrii Avdiukhin, Rana Shahout, Nikita Ivkin, Vladimir Braverman, Minlan Yu:
Federated Learning Clients Clustering with Adaptation to Data Drifts. - Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou:
Trustworthy Federated Learning: Privacy, Security, and Beyond. - Zhenyu Wang, Yali Li, Hengshuang Zhao, Shengjin Wang:
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection. - Javier Esparza, Mogens Nielsen:
Decidability Issues for Petri Nets - a survey. - Han Yang, Yanlong Zang, Ziwei Liu:
High-Fidelity Virtual Try-on with Large-Scale Unpaired Learning. - Hui Lin, Danfeng Hong, Shuhang Ge, Chuyao Luo, Kai Jiang, Hao Jin, Congcong Wen:
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering. - Xiayang Xiao, Zhuoxuan Li, Haipeng Wang:
OSAD: Open-Set Aircraft Detection in SAR Images. - Fang Sun, Zijie Huang, Haixin Wang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun:
Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Bianca Trinkenreich, Zixuan Feng, Rudrajit Choudhuri, Marco Aurélio Gerosa, Anita Sarma, Igor Steinmacher:
Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS. - Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi:
DreamPolish: Domain Score Distillation With Progressive Geometry Generation. - Jianjun Sun, Zhenwei Niu, Yihao Dong, Fenglin Zhang, Muhayy Ud Din, Lakmal D. Seneviratne, Defu Lin, Irfan Hussain, Shaoming He:
An Aerial Transport System in Marine GNSS-Denied Environment. - Qiang Hu, Xiaofei Xie, Sen Chen, Lei Ma:
Large Language Model Supply Chain: Open Problems From the Security Perspective. - Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu:
DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models. - Xingyu Hu, Lijun Zhang, Dejian Meng, Ye Han, Lisha Yuan:
GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-making. - Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM. - Lutfi Eren Erdogan, Vijay Anand Raghava Kanakagiri, Kurt Keutzer, Zhen Dong:
Stochastic Communication Avoidance for Recommendation Systems. - Sanaz Saki Norouzi, Adrita Barua, Antrea Christou, Nikita Gautam, Andrew Eells, Pascal Hitzler, Cogan Shimizu:
Ontology Population using LLMs. - Filipe R. Cordeiro, Gustavo Carneiro:
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels. - Yiwei Zhang, Jin Gao, Fudong Ge, Guan Luo, Bing Li, Zhaoxiang Zhang, Haibin Ling, Weiming Hu:
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization. - Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. - Xinyu Xu, Huazhen Liu, Huilin Xiong, Wenxian Yu, Tao Zhang:
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation. - Asmer Hamid Ali, Mozhgan Navardi, Tinoosh Mohsenin:
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons. - Silvia Butti, Alberto Larrauri, Stanislav Zivný:
Optimal Inapproximability of Promise Equations over Finite Groups. - Steve Hanneke, Vinod Raman, Amirreza Shaeiri, Unique Subedi:
Multiclass Transductive Online Learning. - Biman Barua, M. Shamim Kaiser:
Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction. - Neel P. Bhatt, Yunhao Yang, Rohan Siva, Daniel Milan, Ufuk Topcu, Zhangyang Wang:
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework. - Md. Abrar Jahin, Md. Akmol Masud, Md Wahiduzzaman Suva, Muhammad Firoz Mridha, Nilanjan Dey:
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics. - Md. Abrar Jahin, Md. Akmol Masud, Muhammad Firoz Mridha, Nilanjan Dey:
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination. - Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. - Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi:
Achieving Domain-Independent Certified Robustness via Knowledge Continuity. - Gjergji Kasneci, Enkelejda Kasneci:
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers. - Zhenbin Wang, Lei Zhang, Lituan Wang, Minjuan Zhu, Zhenwei Zhang:
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation. - Vaneeta Ahlawat, Rohit Sharma, Urush:
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification. - Laura Wenderoth:
Diagnosing Medical Datasets with Training Dynamics. - Xiaole Tang, Xiang Gu, Xiaoyi He, Xin Hu, Jian Sun:
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration. - Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau, Khoa Tran, Thanh Do:
Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations. - Majid Daliri, Zhao Song, Chiwun Yang:
Unlocking the Theory Behind Scaling 1-Bit Neural Networks. - Youngsun Wi, Jayjun Lee, Miquel Oller, Nima Fazeli:
Neural Inverse Source Problems. - Jonathan Pirnay, Jan G. Rittig, Alexander B. Wolf, Martin Grohe, Jakob Burger, Alexander Mitsos, Dominik G. Grimm:
GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. - Chen Shapira, Dan Rosenbaum:
Robust Neural Processes for Noisy Data. - Kaike Ping, James Hawdon, Eugenia H. Rho:
Perceiving and Countering Hate: The Role of Identity in Online Responses. - Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar:
Autoformulation of Mathematical Optimization Models Using LLMs. - Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh, Mihaela C. Stoian, Eleonora Giunchiglia, Gurkirt Singh, Andrew Bradley, Fabio Cuzzolin:
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. - Mohammad Hossein Moslemi, Mostafa Milani:
Mitigating Matching Biases Through Score Calibration. - Srivatsan Sridhar, Ertem Nusret Tas, Joachim Neu, Dionysis Zindros, David Tse:
Consensus Under Adversary Majority Done Right. - Xinrui He, Shuo Liu, Jackey Keung, Jingrui He:
Co-clustering for Federated Recommender System. - Luís Cunha, Thiago Lopes, Uéverton S. Souza, Marília D. V. Braga, Jens Stoye:
Closing the complexity gap of the double distance problem. - Martin Harrigan, Thomas Lloyd, Daire Ó Broin:
Token Composition: A Graph Based on EVM Logs. - Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas:
Conformal Risk Minimization with Variance Reduction. - Sejoon Oh, Yiqiao Jin, Megha Sharma, Donghyun Kim, Eric Ma, Gaurav Verma, Srijan Kumar:
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models. - Yuefeng Peng, Junda Wang, Hong Yu, Amir Houmansadr:
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors. - Razvan-Alexandru Smadu, David-Gabriel Ion, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel:
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups. - Jingtao Tang, Zining Mao, Hang Ma:
Large-Scale Multi-Robot Coverage Path Planning on Grids with Path Deconfliction. - Dennis Fucci, Marco Gaido, Beatrice Savoldi, Matteo Negri, Mauro Cettolo, Luisa Bentivogli:
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation. - Junjiao Tian, Chengyue Huang, Zsolt Kira:
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models. - Nalin Tiwary, Siddarth Aananth:
1st-Order Magic: Analysis of Sharpness-Aware Minimization. - Maya Bechler-Speicher, Moshe Eliasof:
A General Recipe for Contractive Graph Neural Networks - Technical Report. - Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm:
Barriers to Welfare Maximization with No-Regret Learning. - Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm:
Computational Lower Bounds for Regret Minimization in Normal-Form Games. - Matthew McDermott, Jason H. Rife:
A Probabilistic Formulation of LiDAR Mapping with Neural Radiance Fields. - Madalena Caldeira, Plinio Moreno:
Next Best View For Point-Cloud Model Acquisition: Bayesian Approximation and Uncertainty Analysis. - Jiarui Fang, Jinzhe Pan, Xibo Sun, Aoyu Li, Jiannan Wang:
xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism. - Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He:
Not Just Object, But State: Compositional Incremental Learning without Forgetting. - Sen Li, Ke Li, Yu Liu, Qifeng Liao:
A conditional normalizing flow for domain decomposed uncertainty quantification. - Dohyun Kim, Pedro Sandoval-Segura:
Learning from Convolution-based Unlearnable Datastes. - Lizuo Liu, Tongtong Li, Anne Gelb, Yoonsang Lee:
Entropy stable conservative flux form neural networks. - Dang Nguyen, Viet Dac Lai, Seunghyun Yoon, Ryan A. Rossi, Handong Zhao, Ruiyi Zhang, Puneet Mathur, Nedim Lipka, Yu Wang, Trung Bui, Franck Dernoncourt, Tianyi Zhou:
DynaSaur: Large Language Agents Beyond Predefined Actions. - Xinyu Xu, Huazhen Liu, Feiming Wei, Huilin Xiong, Wenxian Yu, Tao Zhang:
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation. - Kun Huang, Fang-Lue Zhang, Fangfang Zhang, Yu-Kun Lai, Paul L. Rosin, Neil A. Dodgson:
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images. - John Komp, Dananjay Srinivas, Maria Leonor Pacheco, Ashutosh Trivedi:
Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis. - Tevin Wang, Jingyuan He, Chenyan Xiong:
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation. - Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang, Chenhui Li, Yang Li, Changbo Wang:
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model. - Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee:
Mitigating Spurious Correlations via Disagreement Probability. - Thai Vu Nguyen, Long Bao Le, Anderson Avila:
Automatic Structured Pruning for Efficient Architecture in Federated Learning. - Vu-Anh Le, Mehmet Dik:
How Analysis Can Teach Us the Optimal Way to Design Neural Operators. - Alexandra Vassar, Jake Renzella, Emily Ross, Andrew Taylor:
Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education. - Cheng Zhang, Lan Wei, Ji Fan, Zening Liu, Yongming Huang:
Lyapunov-guided Multi-Agent Reinforcement Learning for Delay-Sensitive Wireless Scheduling. - Shlomo Libo Feigin, Maximilian Fleissner, Debarghya Ghoshdastidar:
Data Augmentations Go Beyond Encoding Invariances: A Theoretical Study on Self-Supervised Learning. - Chuanchuan Wang, Ahmad Sufril Azlan Mohamed, Mohd Halim Bin Mohd Noor, Xiao Yang, Feifan Yi, Xiang Li:
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition. - William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma:
Eurekaverse: Environment Curriculum Generation via Large Language Models. - Yanshi Sun, Zhiguo Ding, Yun Hou, George K. Karagiannidis:
On Energy Efficiency of Hybrid NOMA. - Xueyan Niu, Cristina Savin, Eero P. Simoncelli:
Learning predictable and robust neural representations by straightening image sequences. - Zilin Huang, Xiangyan Tang, Hongyu Li, Xinyi Cao, Jieren Cheng:
TabSec: A Collaborative Framework for Novel Insider Threat Detection. - Feiping Nie, Yitao Song, Jingjing Xue, Rong Wang, Xuelong Li:
Clustering Based on Density Propagation and Subcluster Merging. - Duc Dang Trung Tran, Byeongkeun Kang, Yeejin Lee:
MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation. - Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang:
Context Parallelism for Scalable Million-Token Inference. - Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang:
Transferable Sequential Recommendation via Vector Quantized Meta Learning. - Yu Mao, Jérôme Gilles:
Non rigid geometric distortions correction - Application to atmospheric turbulence stabilization. - Shan Jiang, Chenguang Zhu, Sarfraz Khurshid:
Generating executable oracles to check conformance of client code to requirements of JDK Javadocs using LLMs. - Allen Z. Ren, Brian Ichter, Anirudha Majumdar:
Thinking Forward and Backward: Effective Backward Planning with Large Language Models. - Yangtao Deng, Xiang Shi, Zhuo Jiang, Xingjian Zhang, Lei Zhang, Zhang Zhang, Bo Li, Zuquan Song, Hang Zhu, Gaohong Liu, Fuliang Li, Shuguang Wang, Haibin Lin, Jianxi Ye, Minlan Yu:
Minder: Faulty Machine Detection for Large-scale Distributed Model Training. - Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li:
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method. - Quanyan Zhu, Tamer Basar:
Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications. - Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan:
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge. - Sangdaow Noppitak, Emmanuel Okafor, Olarik Surinta:
AIWR: Aerial Image Water Resource Dataset for Segmentation Analysis. - Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh:
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. - Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang:
Expanding Sparse Tuning for Low Memory Usage. - Dongwon Kim, Seoyeon Kim, Suha Kwak:
Bootstrapping Top-down Information for Self-modulating Slot Attention. - Luisa Mao, Ryan Soussan, Brian Coltin, Trey Smith, Joydeep Biswas:
Semantic Masking and Visual Feature Matching for Robust Localization. - Fuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang, Zhou Zhao:
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence. - Yu Pan, Hongfeng Yu, Tianjiao Zhao, Jianxin Sun:
Can Language Models Enable In-Context Database? - Kapilan Balagopalan, Tuan Ngo Nguyen, Yao Zhao, Kwang-Sung Jun:
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification. - Ryoga Mahara:
A Polynomial-Time Algorithm for Fair and Efficient Allocation with a Fixed Number of Agents. - Suvir Mirchandani, Suneel Belkhale, Joey Hejna, Evelyn Choi, Md Sazzad Islam, Dorsa Sadigh:
So You Think You Can Scale Up Autonomous Robot Data Collection? - Thanh Nguyen Canh, Xiem HoangVan, Nak Young Chong:
Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments. - Bridget Casey, Greg Marston, Dhaval Vyas:
Self-Care Practices in the Context of Older Adults Living Independently. - Thanh Nguyen Canh, Huy-Hoang Ngo, Xiem HoangVan, Nak Young Chong:
Toward Integrating Semantic-aware Path Planning and Reliable Localization for UAV Operations. - Shelei Li, Yong Chai Tan, Tai Vincent:
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach. - Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John:
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference. - Bo Gao, Fangxu Xing, Daniel Tang:
Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability. - Lingyi Wang, Wei Wu, Fuhui Zhou, Zhijin Qin, Qihui Wu:
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation. - Xi He, Feiyu Du, Xiaohan Yu, Yang Zhao, Tao Lei:
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages. - Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen:
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. - Kaito Ito, Kenji Kashima:
Risk-sensitive control as inference with Rényi divergence. - Kefan Dong, Arvind V. Mahankali, Tengyu Ma:
Formal Theorem Proving by Rewarding LLMs to Decompose Proofs Hierarchically. - Hao Wu, Junxiao Deng, Minchen Yu, Yue Yu, Yaochen Liu, Hao Fan, Song Wu, Wei Wang:
FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing. - Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang:
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning. - Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe, Hung-yi Lee, Ivan Bulyko:
Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback. - Shuangping Li, Tselil Schramm:
Some easy optimization problems have the overlap-gap property. - Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon:
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition. - Shi Dong, Xiaobei Niu, Rui Zhong, Zhifeng Wang, Mingzhang Zuo:
Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classification. - Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li:
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer. - Dong Li:
Dissertation: On the Theoretical Foundation of Model Comparison and Evaluation for Recommender System. - Yaqiong Li, Peng Zhang, Hansu Gu, Tun Lu, Siyuan Qiao, Yubo Shu, Yiyang Shao, Ning Gu:
DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship. - Jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Ruimao Zhang:
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension. - Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu:
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. - Yian Wang:
Silver medal Solution for Image Matching Challenge 2024. - Jinyi Ye, Luca Luceri, Emilio Ferrara:
Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X Approaching the 2024 U.S. Presidential Election. - Gaochao Song, Chong Cheng, Hao Wang:
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes. - Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Can Language Models Learn to Skip Steps? - Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li:
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. - Josefa Caballero, Hanna Okrasinska-Plociniczak, Lukasz Plociniczak, Kishin B. Sadarangani:
Collocation method for a functional equation arising in behavioral sciences. - Xuehui Dong, Miyu Feng, Bokai Lai, Chen Shao, Tiebin Mi, Robert Caiming Qiu:
Space-Time Decoupled Information Metasurface. - Resul Dagdanov, Milan Andrejevic, Dikai Liu, Chin-Teng Lin:
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales. - Kezheng Xiong, Haoen Xiang, Qingshan Xu, Chenglu Wen, Siqi Shen, Jonathan Li, Cheng Wang:
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration. - David Smith Sundarsingh, Bhabani Shankar Dey, Pushpak Jagtap:
Backstepping Design for Incremental Input-to-State Stabilization of Unknown Systems. - Dang Quang A, Dang Quang Long:
High order numerical methods for solving high orders functional differential equations. - Aparna Gupte, Jiahui Liu, Justin Raizes, Bhaskar Roberts, Vinod Vaikuntanathan:
Quantum One-Time Programs, Revisited. - Sachitha C. Bandara, Peter J. Smith, Erfan Khordad, Robin Evans, Rajitha Senanayake:
Rician Channel Modelling for Super Wideband MIMO Communications. - Dhruthi, Nithin Nagaraj, Harikrishnan N. B:
Causal Discovery and Classification Using Lempel-Ziv Complexity. - Pinyao Song, Aparna Hebbani, Dhaval Vyas:
On Arrival: Challenges and Opportunities Around Early-Stage Resettlement of Refugees in Australia. - Jinyin Chen, Danxin Liao, Sheng Xiang, Haibin Zheng:
LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection. - Yitong Dong, Yijin Li, Zhaoyang Huang, Weikang Bian, Jingbo Liu, Hujun Bao, Zhaopeng Cui, Hongsheng Li, Guofeng Zhang:
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding. - Emilien Biré, Anthony Kobanda, Ludovic Denoyer, Rémy Portelas:
Efficient Active Imitation Learning with Random Network Distillation. - Musaab H. Hamed-Ahmed, Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Towards the Industrial Metaverse: A Game-Based VR Application for Fire Drill and Evacuation Training for Ships and Shipbuilding. - Aoming Liang, Zhaoyang Mu, Qi liu, Ruipeng Li, Mingming Ge, Dixia Fan:
LE-PDE++: Mamba for accelerating PDEs Simulations. - Riccardo Poiani, Marc Jourdan, Emilie Kaufmann, Rémy Degenne:
Best-Arm Identification in Unimodal Bandits. - Heiko Geppert, Frank Dürr, Kurt Rothermel:
Efficient Conflict Graph Creation for Time-Sensitive Networks with Dynamically Changing Communication Demands. - Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin:
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework. - Hanyi Liu, Xianbin Cao, Peng Yang, Zehui Xiong, Tony Q. S. Quek, Dapeng Oliver Wu:
Connection Performance Modeling and Analysis of a Radiosonde Network in a Typhoon. - Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra:
Frequency-based Design Method for Model-Free Controllers. - Michael Kurenkov, Sajad Marvi, Julian Schmidt, Christoph B. Rist, Alessandro Canevaro, Hang Yu, Julian Jordan, Georg Schildbach, Abhinav Valada:
Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations. - Suvir Mirchandani, David D. Yuan, Kaylee Burns, Md Sazzad Islam, Tony Z. Zhao, Chelsea Finn, Dorsa Sadigh:
RoboCrowd: Scaling Robot Data Collection through Crowdsourcing. - Yuchen He, Xiangfeng Wang:
Masked Autoencoders are Parameter-Efficient Federated Continual Learners. - Ting Peng, Yuan Li, Tao Li, Xiaoxue Xu, Xiang Dong, Yincai Cai:
Preemptive Holistic Collaborative System and Its Application in Road Transportation. - Teng Bin, Jianming Yao, Tin Lun Lam, Tianwei Zhang:
Real-Time Polygonal Semantic Mapping for Humanoid Robot Stair Climbing. - Jhon Edgar Amaya, Carlos Cotta, Antonio José Fernández Leiva, Pablo García-Sánchez:
Deep memetic models for combinatorial optimization problems: application to the tool switching problem. - Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb:
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks. - Sharat Agarwal:
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models. - Xinlin Wang, Zsófia Kräussl, Mats Brorsson:
Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy. - Mohammad Zbeeb, Mohammad Ghorayeb, Mariam Salman:
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis. - Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates:
Differentially private and decentralized randomized power method. - Oleksandr Kosenkov, Parisa Elahidoost, Tony Gorschek, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Davide Fucci, Rahul Mohanani:
Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems. - Martial Noirhomme, Isa Mammadli, N. Vanesse, Jayant Pande, A.-S. Smith, Nicolas Vandewalle:
Brainbots as smart autonomous active particles with programmable motion. - Tam W. Nguyen, Kyoungseok Han, Kenji Hirata:
KPCA for Thrust Vectoring Systems Exhibiting Singular Points. - Anran Zhang, Xingfen Wang, Yuhan Zhao:
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection. - Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei:
Learning Where to Edit Vision Transformers. - Mike Thelwall, Xiaorui Jiang, Peter A. Bath:
Evaluating the quality of published medical research with ChatGPT. - Sichao Li, Quanling Deng, Amanda S. Barnard:
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning. - Ilya Zisman, Alexander Nikulin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov:
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs. - Hichem Rami Ait El Hara, François Bobot, Guillaume Bury:
On SMT Theory Design: The Case of Sequences. - David Colomer Matachana:
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach. - Muhammad Waqas Ashraf, Ali Hassan, Imad Ali Shah:
V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams. - A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar:
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering. - Zhengyang Yu, Arthur Aubret, Marcel C. Raabe, Jane Yang, Chen Yu, Jochen Triesch:
Active Gaze Behavior Boosts Self-Supervised Object Learning. - Peter Horoschenkoff, Jasper Rödiger, Martin Wilske:
A new control- and management architecture for SDN-enabled quantum key distribution networks. - Jörn Bodenhausen, Laurenz Grote, Michael Rademacher, Martin Henze:
Adaptive Optimization of TLS Overhead for Wireless Communication in Critical Infrastructure. - Jesús S. Aguilar-Ruiz:
The Certainty Ratio Cρ: a novel metric for assessing the reliability of classifier predictions. - Ehsan Faghihi, Mohammedreza Zarenejad, Ali Asghar Beheshti Shirazi:
SPECTRUM: Semantic Processing and Emotion-informed video-Captioning Through Retrieval and Understanding Modalities. - Charles Camboulin, Diego Doimo, Aldo Glielmo:
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance. - Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su:
Typicalness-Aware Learning for Failure Detection. - Daniel Bonilla Licea, Giuseppe Silano, Hajar El Hammouti, Mounir Ghogho, Martin Saska:
Reshaping UAV-Enabled Communications with Omnidirectional Multi-Rotor Aerial Vehicles. - Erna Begovic, Anita Carevic, Ivana Sain Glibic:
Randomized coupled decompositions. - Chengpeng Wang, Li Chen, Lili Wang, Zhaofan Li, Xuebin Lv:
QCS:Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition. - Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong:
Ask, and it shall be given: Turing completeness of prompting. - Hoonick Lee, Mogan Gim, Donghyeon Park, Donghee Choi, Jaewoo Kang:
Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task. - Jianguo Huang, Haohao Wu, Tao Zhou:
Adaptive neural network basis methods for partial differential equations with low-regular solutions. - Satoki Ishikawa, Rio Yokota, Ryo Karakida:
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation. - Zhuoning Guo, Ruiqian Han, Hao Liu:
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning. - Stella Civelli, Marco Secondini:
Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation. - Paul Donner, Clemens Blümel:
Towards a valid bibliometric measure of epistemic breadth of researchers. - Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, Ling Chen:
Foundations and Recent Trends in Multimodal Mobile Agents: A Survey. - Rujing Xiong, Jialong Lu, Ke Yin, Tiebin Mi, Robert Caiming Qiu:
Fair Beam Synthesis and Suppression via Transmissive Reconfigurable Intelligent Surfaces. - Jai G. Singla, Gautam Jaiswal:
Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning. - Mickaël Martin-Nevot, Lotfi Lakhal:
Classement d'objets Skylines dans les bases de données. - Rui Song, Yingji Li, Lida Shi, Fausto Giunchiglia, Hao Xu:
Shortcut Learning in In-Context Learning: A Survey. - Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé:
Optimal Classification under Performative Distribution Shift. - Christine Michel, Laëtitia Pierrot:
Towards the design of model-based means and methods to characterize and diagnose teachers' digital maturity. - Yu Pan, Yuguang Yang, Jixun Yao, Jianhao Ye, Hongbin Zhou, Lei Ma, Jianjun Zhao:
CTEFM-VC: Zero-Shot Voice Conversion Based on Content-Aware Timbre Ensemble Modeling and Flow Matching. - Qingchao Zhang, Wei Ouyang, Jiale Han, Qi Cai, Maoran Zhu, Yuanxin Wu:
An Immediate Update Strategy of Multi-State Constraint Kalman Filter. - Gaspard Quenard, Damien Pellier, Humbert Fiorino:
SibylSat: Using SAT as an Oracle to Perform a Greedy Search on TOHTN Planning. - Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera, Francisco J. González-Castaño:
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models. - Yongxin Zhu, Bocheng Li, Yifei Xin, Linli Xu:
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer. - Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. - Avner Kantor, Sheizaf Rafaeli:
Conversations with Data: How Data Journalism Affects Online Comments in the New York Times. - Ruidong Fan, Xiao Ouyang, Hong Tao, Yuhua Qian, Chenping Hou:
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture. - Felix Morsbach, Jan Reubold, Thorsten Strufe:
R+R:Understanding Hyperparameter Effects in DP-SGD. - Yan Li, Weiwei Guo, Xue Yang, Ning Liao, Shaofeng Zhang, Yi Yu, Wenxian Yu, Junchi Yan:
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation. - Gionni Marchetti:
Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learning. - Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao:
TableGPT2: A Large Multimodal Model with Tabular Data Integration. - Masoud Elyasi, Azadeh Vosoughi:
Massive MIMO over Correlated Fading Channels: Multi-Cell MMSE Processing, Pilot Assignment and Power Control. - Alvaro Calvo, Jesús Capitán:
Heterogeneous Multi-robot Task Allocation for Long-Endurance Missions in Dynamic Scenarios. - Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. - Tanay Agrawal, Abid Ali, Antitza Dantcheva, François Brémond:
AM Flow: Adapters for Temporal Processing in Action Recognition. - Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang:
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. - Kevin Doherty, Emma Kallina, Kayley Moylan, María Paula Silva, Sajjad Karimian, Shivam Shumsher, Rob Brennan:
Imagining Better AI-Enabled Healthcare Futures: The Case for Care by Design. - Andrea Schioppa, Emiel Hoogeboom, Jonathan Heek:
Model Integrity when Unlearning with T2I Diffusion Models. - Bhupendra Solanki, Ashwin Nair, Mainak Singha, Souradeep Mukhopadhyay, Ankit Jha, Biplab Banerjee:
GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery. - Lucas Lacasa, Abel Pardo, Pablo Arbelo, Miguel Sánchez, Pablo Yeste, Noelia Bascones, Alejandro Martínez-Cava, Gonzalo Rubio, Ignacio Gómez, Eusebio Valero, Javier de Vicente:
Towards certification: A complete statistical validation pipeline for supervised learning in industry. - Christoph Hochrainer, Anastasia Isychev, Valentin Wüstholz, Maria Christakis:
Fuzzing Processing Pipelines for Zero-Knowledge Circuits. - Jonas Zausinger, Lars Pennig, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael Morris Danziger, Jannis Born:
Regress, Don't Guess - A Regression-like Loss on Number Tokens for Language Models. - Louis Vialar, Jämes Ménétrey, Valerio Schiavoni, Pascal Felber:
BlindexTEE: A Blind Index Approach towards TEE-supported End-to-end Encrypted DBMS. - Fan Wu, Muhammad Bilal, Haolong Xiang, Heng Wang, Jinjun Yu, Xiaolong Xu:
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism. - Felix Anand Epp, Jesse Haapoja, Matti Nelimarkka:
Affordances and Design Principles of The Political Left and Right. - Manqi Xu, Ye Guo, Hongbin Sun:
Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market. - Marcel Krüger, David Gilbert, Torsten Wolfgang Kuhlen, Tim Gerrits:
Game Engines for Immersive Visualization: Using Unreal Engine Beyond Entertainment. - Jukka Ruohonen, Adam Alami:
Fast Fixes and Faulty Drivers: An Empirical Analysis of Regression Bug Fixing Times in the Linux Kernel. - Guoqing Wang, Zeyu Sun, Zhihao Gong, Sixiang Ye, Yizhou Chen, Yifan Zhao, Qingyuan Liang, Dan Hao:
Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering? - Xiaoqing Chen, Ziwei Wang, Dongrui Wu:
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs. - Preetish Kakkar, Hariharan Ragothaman:
The evolution of volumetric video: A survey of smart transcoding and compression approaches.
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