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Ayush Jain
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ayush Jain 0001 — University of California, San Diego, Department of Electrical and Computer Engineering, La Jolla, CA, USA
- Ayush Jain 0002 — Auburn University, Department of Electrical and Computer Engineering, AL, USA
- Ayush Jain 0003 — University of Southern California, Cognitive Learning for Vision and Robotics Lab., Los Angeles, CA, USA
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2020 – today
- 2024
- [c28]Ayush Jain
, Manikandan Padmanaban
A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. COMAD/CODS 2024: 316-324 - [c27]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Segmentation. CVPR 2024: 3564-3574 - [c26]Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki:
Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR 2024: 15342-15353 - [i23]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Perception. CoRR abs/2401.02416 (2024) - [i22]Ayush Jain, Ehsan Haghighat, Sai Nelaturi:
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. CoRR abs/2402.01045 (2024) - [i21]Ayush Jain, Andrea Montanari, Eren Sasoglu:
Scaling laws for learning with real and surrogate data. CoRR abs/2402.04376 (2024) - [i20]Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki:
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR abs/2402.06559 (2024) - [i19]Ayush Jain, Rishi Gurnani, Arunkumar Rajan, H. Jerry Qi, Rampi Ramprasad:
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity. CoRR abs/2409.05240 (2024) - [i18]Mohamed Sobhi Jabal, Pranav I. Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej A. Mazurowski, Walter F. Wiggins, Kirti Magudia, Evan Calabrese:
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports. CoRR abs/2409.10576 (2024) - 2023
- [j4]Shanmukhi Sripada
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. Comput. Ind. Eng. 182: 109397 (2023) - [c25]Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain:
Deep Reinforcement Agent for Efficient Instant Search. KDIR 2023: 281-288 - [c24]Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki:
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. Robotics: Science and Systems 2023 - [i17]Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi:
Preparing Unprepared Students For Future Learning. CoRR abs/2303.11960 (2023) - [i16]Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki:
Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement. CoRR abs/2304.14391 (2023) - [i15]Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Kommy Weldemariam:
Supply chain emission estimation using large language models. CoRR abs/2308.01741 (2023) - [i14]Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa:
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR abs/2311.09596 (2023) - 2022
- [c23]Ayush Jain
Towards Context-based Model Selection for Improved Crop Price Forecasting. COMAD/CODS 2022: 195-203 - [c22]Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki:
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. ECCV (36) 2022: 417-433 - [c21]Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist:
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML 2022: 12078-12095 - [c20]Abhinav Joshi
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. NAACL-HLT 2022: 4148-4164 - [i13]Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain:
Deep Reinforcement Agent for Efficient Instant Search. CoRR abs/2203.09644 (2022) - [i12]Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist:
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR abs/2203.11973 (2022) - [i11]Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi:
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. CoRR abs/2205.02455 (2022) - 2021
- [j3]Ayush Jain, Rohit Ramaprasad, Pratik Narang, Murari Mandal, Vinay Chamola, F. Richard Yu, Mohsen Guizani:
AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions. IEEE Netw. 35(4): 129-135 (2021) - [c19]Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI 2021: 7899-7907 - [c18]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Self-Improving Embodied Object Detection. BMVC 2021: 270 - [c17]Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi:
Preparing Unprepared Students For Future Learning. CogSci 2021 - [c16]Ayush Jain, Shashank Srivastava:
Does Social Pressure Drive Persuasion in Online Fora? EMNLP (1) 2021: 9201-9208 - [c15]Sparsh Shukla, Ishita Kalsi, Ayush Jain, Ankita Verma:
A Tensor Decomposition Based Approach for Context-Aware Recommender Systems (CARS). IC3 2021: 438-442 - [c14]Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan:
Subset-of-data variational inference for deep Gaussian-processes regression. UAI 2021: 1362-1370 - [i10]Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan:
Deep learning via LSTM models for COVID-19 infection forecasting in India. CoRR abs/2101.11881 (2021) - [i9]Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. CoRR abs/2102.01985 (2021) - [i8]Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan:
Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR abs/2107.08265 (2021) - [i7]Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan:
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. CoRR abs/2109.04204 (2021) - [i6]Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki:
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. CoRR abs/2112.08879 (2021) - 2020
- [c13]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c12]Ayush Jain, Maria Leonor Pacheco
Identifying Collaborative Conversations using Latent Discourse Behaviors. SIGdial 2020: 74-78 - [i5]Ayush Jain, Meenachi Ganesamoorty:
NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain. CoRR abs/2003.13821 (2020) - [i4]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR abs/2012.00057 (2020)
2010 – 2019
- 2019
- [i3]Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Gregory S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz:
A deep learning system for differential diagnosis of skin diseases. CoRR abs/1909.05382 (2019) - 2018
- [c11]Ayush Jain, Doina Precup:
Eligibility Traces for Options. AAMAS 2018: 1008-1016 - 2017
- [j2]Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. Proc. VLDB Endow. 10(7): 829-840 (2017) - [c10]Ayush Jain, Rakesh Kumar Bansal:
On optimality and redundancy of side information version of SWLZ. ISIT 2017: 306-310 - [i2]Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. CoRR abs/1701.06207 (2017) - 2016
- [c9]Ayush Jain, Rakesh Kumar Bansal:
On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm. ITW 2016: 116-120 - [i1]Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram:
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR abs/1601.02034 (2016) - 2015
- [j1]Ayush Jain, Sanchit Goel, Karan Nathwani, Rajesh M. Hegde:
Robust acoustic echo cancellation using Kalman filter in double talk scenario. Speech Commun. 70: 65-75 (2015) - [c8]Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran
Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. HCOMP 2015: 178-187 - [c7]Ayush Jain, Saswat Raj, Harshit, Rajiv Misra
Road congestion sensing via crowdsourcing and MapReduce. IPSN 2015: 356-357 - [c6]Ayush Jain, Rakesh Kumar Bansal:
On redundancy rate of FDLZ algorithm and its variants. ISIT 2015: 1991-1995 - [c5]Ayush Jain, Rakesh Kumar Bansal:
Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources. ITW 2015: 1-5 - [c4]Ayush Jain, Rakesh Kumar Bansal:
Exponential rates of convergence for waiting times and generalized AEP. ITW 2015: 1-5 - [c3]Danish Pruthi, Ayush Jain, Krishna Murthy Jatavallabhula
Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. UKSim 2015: 137-141 - 2014
- [c2]Subhash C. Tanan, Karan Nathwani, Ayush Jain, Rajesh M. Hegde, Ruchi Rani, Abhijit Tripathy:
Acoustic echo and noise cancellation using Kalman filter in a modified GSC framework. ACSSC 2014: 477-481 - 2013
- [c1]Saswat Raj, Ayush Jain, Rajiv Misra
Smartphone sensing for large data set collection of potholes. MobiSys 2013: 517-518
Coauthor Index
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last updated on 2024-12-08 02:24 CET by the dblp team
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