Jayesh K. Gupta

57 papers A* 11A 9Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Weather Foundation Model for the Power Grid. CoRR Cristian Bodnar, Raphaël Rousseau-Rizzi, Nikhil Shankar, James Merleau, Stylianos Flampouris, Guillem Candille, Slavica Antic, François Mirallès, Jayesh K. Gupta
2025	J	`jnl`	A foundation model for the Earth system. Nat. Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Jayesh K. Gupta, Kit Thambiratnam, Alexander T. Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
2024	J	`jnl`	Aurora: A Foundation Model of the Atmosphere. CoRR Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alexander T. Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
2024	A	`conf`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2023	A*	`conf`	Clifford Neural Layers for PDE Modeling. ICLR Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
2023	A*	`conf`	ClimaX: A foundation model for weather and climate. ICML Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
2023	J	`jnl`	ClimaX: A foundation model for weather and climate. CoRR Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover
2023	J	`jnl`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2023	A*	`conf`	Geometric Clifford Algebra Networks. ICML David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
2023	J	`jnl`	Geometric Clifford Algebra Networks. CoRR David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
2023	J	`jnl`	Towards Multi-spatiotemporal-scale Generalized PDE Modeling. Trans. Mach. Learn. Res. Jayesh K. Gupta, Johannes Brandstetter
2022	A	`conf`	Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. AAMAS Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
2022	J	`jnl`	Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. CoRR Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
2022	A	`conf`	COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
2022	J	`jnl`	COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor
2022	J	`jnl`	Clifford Neural Layers for PDE Modeling. CoRR Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
2022	J	`jnl`	Dynamic multi-robot task allocation under uncertainty and temporal constraints. Auton. Robots Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2022	A*	`conf`	Learning Modular Simulations for Homogeneous Systems. NeurIPS Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
2022	J	`jnl`	Learning Modular Simulations for Homogeneous Systems. CoRR Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
2022	A	`conf`	Learning to Simulate Realistic LiDARs. IROS Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	J	`jnl`	Learning to Simulate Realistic LiDARs. CoRR Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022	A*	`conf`	Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022	J	`jnl`	Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. CoRR Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022	A*	`conf`	Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). IJCAI Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer
2022	J	`jnl`	Scalable Online Planning for Multi-Agent MDPs. J. Artif. Intell. Res. Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2022	J	`jnl`	Towards Multi-spatiotemporal-scale Generalized PDE Modeling. CoRR Jayesh K. Gupta, Johannes Brandstetter
2021	A	`conf`	Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. AAMAS Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
2021	A	`conf`	Scalable Anytime Planning for Multi-Agent MDPs. AAMAS Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2021	J	`jnl`	Scalable Anytime Planning for Multi-Agent MDPs. CoRR Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2021	J	`jnl`	Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. CoRR Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer
2020	J	`jnl`	Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. CoRR Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
2020	—	`conf`	Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. Robotics: Science and Systems Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2020	J	`jnl`	Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. CoRR Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2020	J	`jnl`	Model primitives for hierarchical lifelong reinforcement learning. Auton. Agents Multi Agent Syst. Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2020	—	`—`	Modularity and coordination for planning and reinforcement learning. Jayesh K. Gupta
2020	A	`conf`	Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. AAMAS Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer
2020	—	`conf`	Normalizing Flow Policies for Multi-agent Systems. GameSec Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer
2020	A*	`conf`	Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. ICML Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
2020	J	`jnl`	Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. CoRR Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
2020	—	`conf`	Structured Mechanical Models for Robot Learning and Control. L4DC Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2020	J	`jnl`	Structured Mechanical Models for Robot Learning and Control. CoRR Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2019	J	`jnl`	A General Framework for Structured Learning of Mechanical Systems. CoRR Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2019	J	`jnl`	Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. CoRR Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer
2019	A	`conf`	Model Primitive Hierarchical Lifelong Reinforcement Learning. AAMAS Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2019	J	`jnl`	Model Primitive Hierarchical Lifelong Reinforcement Learning. CoRR Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2019	A*	`conf`	Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019	J	`jnl`	Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2018	A	`conf`	Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. AAMAS Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
2018	J	`jnl`	Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. CoRR John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
2018	A*	`conf`	Learning Policy Representations in Multiagent Systems. ICML Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, Harrison Edwards
2018	J	`jnl`	Learning Policy Representations in Multiagent Systems. CoRR Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards
2017	—	`conf`	Cooperative Multi-agent Control Using Deep Reinforcement Learning. AAMAS Workshops (Selected Papers) Jayesh K. Gupta, Maxim Egorov, Mykel J. Kochenderfer
2017	—	`conf`	Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. SSCI John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
2017	J	`jnl`	POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty. J. Mach. Learn. Res. Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer
2016	A*	`conf`	Model-Free Imitation Learning with Policy Optimization. ICML Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
2016	J	`jnl`	Model-Free Imitation Learning with Policy Optimization. CoRR Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
2015	A*	`conf`	PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback. ICRA Ashesh Jain, Debarghya Das, Jayesh K. Gupta, Ashutosh Saxena