Ayush Jain

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 75

Top Topics

Reinforcement Learning

Rates Of Convergence

Top Venues

Publications

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 (2024)
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 (2024)
Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Komminist Weldemariam
A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. COMAD/CODS (2024)
Ayush Jain, Andrea Montanari, Eren Sasoglu
Scaling laws for learning with real and surrogate data. CoRR (2024)
Ayush Jain, Ehsan Haghighat, Sai Nelaturi
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. CoRR (2024)
Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Kommy Weldemariam
Supply chain emission estimation using large language models. CoRR (2023)
Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
Preparing Unprepared Students For Future Learning. CoRR (2023)
Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. Comput. Ind. Eng. 182 (2023)
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)
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. CoRR (2023)
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 (2023)
Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain
Deep Reinforcement Agent for Efficient Instant Search. KDIR (2023)
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 (2023)
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 (2022)
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
Efficient List-Decodable Regression using Batches. CoRR (2022)
Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph J. Lim
Know Your Action Set: Learning Action Relations for Reinforcement Learning. ICLR (2022)
Ayush Jain, Smit Marvaniya, Shantanu Godbole, Vitobha Munigala
Towards Context-based Model Selection for Improved Crop Price Forecasting. COMAD/CODS (2022)
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)
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)
Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. CoRR (2022)
Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain
Deep Reinforcement Agent for Efficient Instant Search. CoRR (2022)
Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. NAACL-HLT (2022)
Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li
The Price of Tolerance in Distribution Testing. COLT (2022)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm. CoRR (2022)
Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
Robust estimation algorithms don't need to know the corruption level. CoRR (2022)
Yadi Zhong, Ayush Jain, M. Tanjidur Rahman, Navid Asadizanjani, Jiafeng Xie, Ujjwal Guin
AFIA: ATPG-Guided Fault Injection Attack on Secure Logic Locking. J. Electron. Test. 38 (5) (2022)
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Robust Estimation for Random Graphs. COLT (2022)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm. ICML (2022)
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI (2021)
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) (2021)
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
Subset-of-data variational inference for deep Gaussian-processes regression. UAI (2021)
Ayush Jain, Ziqi Zhou, Ujjwal Guin
TAAL: Tampering Attack on Any Key-based Logic Locked Circuits. ACM Trans. Design Autom. Electr. Syst. 26 (4) (2021)
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
Move to See Better: Self-Improving Embodied Object Detection. BMVC (2021)
Sparsh Shukla, Ishita Kalsi, Ayush Jain, Ankita Verma
A Tensor Decomposition Based Approach for Context-Aware Recommender Systems (CARS). IC3 (2021)
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
Variance Penalized On-Policy and Off-Policy Actor-Critic. CoRR (2021)
Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
Deep learning via LSTM models for COVID-19 infection forecasting in India. CoRR (2021)
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR (2021)
Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li
The Price of Tolerance in Distribution Testing. CoRR (2021)
Yuqiao Zhang, Ayush Jain, Pinchen Cui, Ziqi Zhou, Ujjwal Guin
A novel topology-guided attack and its countermeasure towards secure logic locking. J. Cryptogr. Eng. 11 (3) (2021)
Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. CoRR (2021)
Ayush Jain, Shashank Srivastava
Does Social Pressure Drive Persuasion in Online Fora? EMNLP (1) (2021)
Ayush Jain, Ziqi Zhou, Ujjwal Guin
Survey of Recent Developments for Hardware Trojan Detection. ISCAS (2021)
Ayush Jain, Alon Orlitsky
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free. ICML (2021)
Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
Looking Outside the Box to Ground Language in 3D Scenes. CoRR (2021)
Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
Preparing Unprepared Students For Future Learning. CogSci (2021)
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Robust Estimation for Random Graphs. CoRR (2021)
Ayush Jain, Alon Orlitsky
Linear-Sample Learning of Low-Rank Distributions. NeurIPS (2020)
Ayush Jain, Alon Orlitsky
A General Method for Robust Learning from Batches. NeurIPS (2020)
Ayush Jain, M. Tanjidur Rahman, Ujjwal Guin
ATPG-Guided Fault Injection Attacks on Logic Locking. CoRR (2020)
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR (2020)
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joochan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) (2020)
Ayush Jain, Ujjwal Guin
A Novel Tampering Attack on AES Cores with Hardware Trojans. CoRR (2020)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. NeurIPS (2020)
Ayush Jain, Ujjwal Guin
A Novel Tampering Attack on AES Cores with Hardware Trojans. ITC-Asia (2020)
Ayush Jain, Alon Orlitsky
A General Method for Robust Learning from Batches. CoRR (2020)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. CoRR (2020)
Ayush Jain, Alon Orlitsky
Optimal Robust Learning of Discrete Distributions from Batches. ICML (2020)
Ayush Jain, Andrew Szot, Joseph J. Lim
Generalization to New Actions in Reinforcement Learning. ICML (2020)
Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser
Identifying Collaborative Conversations using Latent Discourse Behaviors. SIGdial (2020)
Yuqiao Zhang, Ayush Jain, Pinchen Cui, Ziqi Zhou, Ujjwal Guin
A Novel Topology-Guided Attack and Its Countermeasure Towards Secure Logic Locking. CoRR (2020)
Ayush Jain, Andrew Szot, Joseph J. Lim
Generalization to New Actions in Reinforcement Learning. CoRR (2020)
Ayush Jain, Alon Orlitsky
Linear-Sample Learning of Low-Rank Distributions. CoRR (2020)
Ayush Jain, Ujjwal Guin, M. Tanjidur Rahman, Navid Asadizanjani, Danielle Duvalsaint, R. D. Shawn Blanton
Special Session: Novel Attacks on Logic-Locking. VTS (2020)
Ayush Jain, Meenachi Ganesamoorty
NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain. CoRR (2020)
Ayush Jain, Ziqi Zhou, Ujjwal Guin
TAAL: Tampering Attack on Any Key-based Logic Locked Circuits. CoRR (2019)
Ayush Jain, Alon Orlitsky
Robust Learning of Discrete Distributions from Batches. CoRR (2019)
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 (2019)
Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar
The Limits of Maxing, Ranking, and Preference Learning. ICML (2018)
Ayush Jain, Himanshu Tyagi
Effective Memory Shrinkage in Estimation. ISIT (2018)
Ayush Jain, Doina Precup
Eligibility Traces for Options. AAMAS (2018)
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. Proc. VLDB Endow. 10 (7) (2017)
Ayush Jain, Rakesh Kumar Bansal
On optimality and redundancy of side information version of SWLZ. ISIT (2017)
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 (2017)
Ayush Jain, Rakesh Kumar Bansal
On point-wise redundancy rate of Bender-Wolf's variant of SWLZ algorithm. ITW (2016)
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 (2016)
Ayush Jain, Rakesh Kumar Bansal
On redundancy rate of FDLZ algorithm and its variants. ISIT (2015)
Danish Pruthi, Ayush Jain, Krishna Murthy Jatavallabhula, Ruppesh Nalwaya, Puneet Teja
Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. UKSim (2015)
Ayush Jain, Saswat Raj, Harshit, Rajiv Misra, B. M. Baveja
Road congestion sensing via crowdsourcing and MapReduce. IPSN (2015)
Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom
Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. HCOMP (2015)
Ayush Jain, Rakesh Kumar Bansal
Exponential rates of convergence for waiting times and generalized AEP. ITW (2015)
Ayush Jain, Sanchit Goel, Karan Nathwani, Rajesh M. Hegde
Robust acoustic echo cancellation using Kalman filter in double talk scenario. Speech Commun. 70 (2015)
Ayush Jain, Rakesh Kumar Bansal
Point-wise analysis of redundancy in SWLZ algorithm for φ-mixing sources. ITW (2015)
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)
Saswat Raj, Ayush Jain, Rajiv Misra
Smartphone sensing for large data set collection of potholes. MobiSys (2013)