Dinesh Jayaraman

139 papers A* 40Misc 5Journal 78Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies. CoRR Yunzhou Song, Long Le, Yong-Hyun Park, Jie Wang, Junyao Shi, Lingjie Liu, Jiatao Gu, Eric Eaton, Dinesh Jayaraman, Kostas Daniilidis
2026	J	`jnl`	Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping. CoRR William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Yecheng Jason Ma, Dinesh Jayaraman
2026	J	`jnl`	TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation. CoRR William Shen, Nishanth Kumar, Sahit Chintalapudi, Jie Wang, Christopher Watson, Edward Hu, Jing Cao, Dinesh Jayaraman, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2025	A*	`conf`	Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. ICLR Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton
2025	J	`jnl`	Illustrated Landmark Graphs for Long-horizon Policy Learning. Trans. Mach. Learn. Res. Christopher Watson, Arjun Krishna, Rajeev Alur, Dinesh Jayaraman
2025	J	`jnl`	Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking. CoRR Pratik Kunapuli, Jake Welde, Dinesh Jayaraman, Vijay Kumar
2025	A*	`conf`	Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems. ICRA Jake Welde, Nishanth Rao, Pratik Kunapuli, Dinesh Jayaraman, Vijay Kumar
2025	J	`jnl`	Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels. CoRR Long Le, Ryan Lucas, Chen Wang, Chuhao Chen, Dinesh Jayaraman, Eric Eaton, Lingjie Liu
2025	A*	`conf`	REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments. ICLR Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee
2025	J	`jnl`	RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models. CoRR Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee
2025	J	`jnl`	Real-World Reinforcement Learning of Active Perception Behaviors. CoRR Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman
2025	J	`jnl`	RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. CoRR Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
2025	A*	`conf`	The Belief State Transformer. ICLR Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2025	A*	`conf`	The Value of Sensory Information to a Robot. ICLR Arjun Krishna, Edward S. Hu, Dinesh Jayaraman
2025	J	`jnl`	TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance. CoRR Yuyang Liu, Chuan Wen, Yihang Hu, Dinesh Jayaraman, Yang Gao
2025	J	`jnl`	VLMgineer: Vision Language Models as Robotic Toolsmiths. CoRR George Jiayuan Gao, Tianyu Li, Junyao Shi, Yihan Li, Zizhe Zhang, Nadia Figueroa, Dinesh Jayaraman
2025	A*	`conf`	Vision Language Models are In-Context Value Learners. ICLR Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia
2025	A*	`conf`	ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos. ICRA Junyao Shi, Zhuolun Zhao, Tianyou Wang, Ian Pedroza, Amy Luo, Jie Wang, Jason Ma, Dinesh Jayaraman
2025	J	`jnl`	ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos. CoRR Junyao Shi, Zhuolun Zhao, Tianyou Wang, Ian Pedroza, Amy Luo, Jie Wang, Jason Ma, Dinesh Jayaraman
2024	J	`jnl`	Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. CoRR Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton
2024	A*	`conf`	Can Transformers Capture Spatial Relations between Objects? ICLR Chuan Wen, Dinesh Jayaraman, Yang Gao
2024	J	`jnl`	Can Transformers Capture Spatial Relations between Objects? CoRR Chuan Wen, Dinesh Jayaraman, Yang Gao
2024	A*	`conf`	Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models. ICRA Junyao Shi, Jianing Qian, Yecheng Jason Ma, Dinesh Jayaraman
2024	J	`jnl`	Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models. CoRR Junyao Shi, Jianing Qian, Yecheng Jason Ma, Dinesh Jayaraman
2024	—	`conf`	DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. Robotics: Science and Systems Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn
2024	—	`conf`	DrEureka: Language Model Guided Sim-To-Real Transfer. Robotics: Science and Systems Yecheng Jason Ma, William Liang, Hung-Ju Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman
2024	J	`jnl`	DrEureka: Language Model Guided Sim-To-Real Transfer. CoRR Yecheng Jason Ma, William Liang, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman
2024	—	`conf`	Dynamic Grasping with a Learned Meta-Controller. CASE Yinsen Jia, Jingxi Xu, Dinesh Jayaraman, Shuran Song
2024	Misc	`conf`	Environment Curriculum Generation via Large Language Models. CoRL William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma
2024	A*	`conf`	Eureka: Human-Level Reward Design via Coding Large Language Models. ICLR Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
2024	J	`jnl`	Eurekaverse: Environment Curriculum Generation via Large Language Models. CoRR William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma
2024	J	`jnl`	Learning to Achieve Goals with Belief State Transformers. CoRR Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2024	J	`jnl`	Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems. CoRR Jake Welde, Nishanth Rao, Pratik Kunapuli, Dinesh Jayaraman, Vijay Kumar
2024	A*	`conf`	Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. ICRA Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker
2024	A*	`conf`	Memory-Consistent Neural Networks for Imitation Learning. ICLR Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024	A*	`conf`	Privileged Sensing Scaffolds Reinforcement Learning. ICLR Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2024	J	`jnl`	Privileged Sensing Scaffolds Reinforcement Learning. CoRR Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2024	J	`jnl`	REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments. CoRR Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee
2024	A*	`conf`	Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies. ICRA Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman
2024	J	`jnl`	Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies. CoRR Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman
2024	—	`conf`	TLControl: Trajectory and Language Control for Human Motion Synthesis. ECCV (37) Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu
2024	Misc	`conf`	Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. CoRL Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman
2024	J	`jnl`	Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. CoRR Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman
2024	A*	`conf`	Universal Visual Decomposer: Long-Horizon Manipulation Made Easy. ICRA Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs
2024	J	`jnl`	Vision Language Models are In-Context Value Learners. CoRR Yecheng Jason Ma, Joey Hejna, Ayzaan Wahid, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Jonathan Tompson, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia
2024	A*	`conf`	ZeroFlow: Scalable Scene Flow via Distillation. ICLR Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
2023	J	`jnl`	DiffusionPhase: Motion Diffusion in Frequency Domain. CoRR Weilin Wan, Yiming Huang, Shutong Wu, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu
2023	J	`jnl`	Eureka: Human-Level Reward Design via Coding Large Language Models. CoRR Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
2023	Misc	`conf`	Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing. CoRL Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman
2023	A*	`conf`	LIV: Language-Image Representations and Rewards for Robotic Control. ICML Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
2023	J	`jnl`	LIV: Language-Image Representations and Rewards for Robotic Control. CoRR Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
2023	—	`conf`	Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. L4DC Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman
2023	J	`jnl`	Learning a Meta-Controller for Dynamic Grasping. CoRR Yinsen Jia, Jingxi Xu, Dinesh Jayaraman, Shuran Song
2023	J	`jnl`	Memory-Consistent Neural Networks for Imitation Learning. CoRR Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
2023	A*	`conf`	Planning Goals for Exploration. ICLR Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2023	J	`jnl`	Planning Goals for Exploration. CoRR Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam S. Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023	J	`jnl`	TLControl: Trajectory and Language Control for Human Motion Synthesis. CoRR Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu
2023	J	`jnl`	TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. CoRR Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman
2023	J	`jnl`	Universal Visual Decomposer: Long-Horizon Manipulation Made Easy. CoRR Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs
2023	A*	`conf`	VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. ICLR Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
2023	J	`jnl`	ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
2022	A*	`conf`	Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. AAAI Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman
2022	—	`conf`	Discovering Deformable Keypoint Pyramids. ECCV (26) Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman
2022	A*	`conf`	Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. ICML Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
2022	J	`jnl`	Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. CoRR Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
2022	J	`jnl`	How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression. CoRR Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani
2022	A*	`conf`	Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. ICLR Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2022	J	`jnl`	Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. CoRR Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker
2022	A*	`conf`	Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression. NeurIPS Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2022	J	`jnl`	SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching. CoRR Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
2022	Misc	`conf`	Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning. CoRL Kun Huang, Edward S. Hu, Dinesh Jayaraman
2022	J	`jnl`	Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning. CoRR Kun Huang, Edward S. Hu, Dinesh Jayaraman
2022	J	`jnl`	VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. CoRR Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
2022	A*	`conf`	Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching. ICML Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
2022	J	`jnl`	Vision-based Perimeter Defense via Multiview Pose Estimation. CoRR Elijah S. Lee, Giuseppe Loianno, Dinesh Jayaraman, Vijay Kumar
2021	J	`jnl`	An Exploration of Embodied Visual Exploration. Int. J. Comput. Vis. Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
2021	A*	`conf`	Conservative Offline Distributional Reinforcement Learning. NeurIPS Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani
2021	J	`jnl`	Conservative Offline Distributional Reinforcement Learning. CoRR Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani
2021	J	`jnl`	Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. CoRR Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman
2021	—	`conf`	How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
2021	J	`jnl`	How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? CoRR Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
2021	A*	`conf`	Keyframe-Focused Visual Imitation Learning. ICML Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman
2021	J	`jnl`	Keyframe-Focused Visual Imitation Learning. CoRR Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman
2021	J	`jnl`	Know Thyself: Transferable Visuomotor Control Through Robot-Awareness. CoRR Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2021	A*	`conf`	Likelihood-Based Diverse Sampling for Trajectory Forecasting. ICCV Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani
2021	A*	`conf`	Probabilistic Modeling for Human Mesh Recovery. ICCV Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis
2021	J	`jnl`	Probabilistic Modeling for Human Mesh Recovery. CoRR Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis
2021	A*	`conf`	SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. ICLR Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2020	J	`jnl`	An Exploration of Embodied Visual Exploration. CoRR Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
2020	A*	`conf`	Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. ICML Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2020	J	`jnl`	Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. CoRR Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2020	J	`jnl`	DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation. IEEE Robotics Autom. Lett. Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra
2020	J	`jnl`	DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation. CoRR Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra
2020	J	`jnl`	Diverse Sampling for Normalizing Flow Based Trajectory Forecasting. CoRR Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani
2020	A*	`conf`	Fighting Copycat Agents in Behavioral Cloning from Observation Histories. NeurIPS Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao
2020	J	`jnl`	Fighting Copycat Agents in Behavioral Cloning from Observation Histories. CoRR Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao
2020	A*	`conf`	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. NeurIPS Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine
2020	J	`jnl`	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. CoRR Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2020	Misc	`conf`	Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2020	J	`jnl`	Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2020	J	`jnl`	Morphology-Agnostic Visual Robotic Control. IEEE Robotics Autom. Lett. Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine
2019	A*	`conf`	Causal Confusion in Imitation Learning. NeurIPS Pim de Haan, Dinesh Jayaraman, Sergey Levine
2019	J	`jnl`	Causal Confusion in Imitation Learning. CoRR Pim de Haan, Dinesh Jayaraman, Sergey Levine
2019	J	`jnl`	Emergence of Exploratory Look-Around Behaviors through Active Observation Completion. CoRR Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
2019	J	`jnl`	Emergence of exploratory look-around behaviors through active observation completion. Sci. Robotics Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
2019	J	`jnl`	End-to-End Policy Learning for Active Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Dinesh Jayaraman, Kristen Grauman
2019	A*	`conf`	Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
2019	J	`jnl`	Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
2019	J	`jnl`	Morphology-Agnostic Visual Robotic Control. CoRR Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine
2019	J	`jnl`	REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. CoRR Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman
2019	A*	`conf`	REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning. ICRA Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine
2019	J	`jnl`	SMiRL: Surprise Minimizing RL in Dynamic Environments. CoRR Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2019	—	`conf`	Time-Agnostic Prediction: Predicting Predictable Video Frames. ICLR (Poster) Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine
2018	A*	`conf`	Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. CVPR Dinesh Jayaraman, Kristen Grauman
2018	J	`jnl`	More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. IEEE Robotics Autom. Lett. Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
2018	J	`jnl`	More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. CoRR Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine
2018	—	`conf`	ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. ECCV (16) Dinesh Jayaraman, Ruohan Gao, Kristen Grauman
2018	J	`jnl`	Time-Agnostic Prediction: Predicting Predictable Video Frames. CoRR Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine
2017	J	`jnl`	Learning Image Representations Tied to Egomotion from Unlabeled Video. Int. J. Comput. Vis. Dinesh Jayaraman, Kristen Grauman
2017	J	`jnl`	Learning to look around. CoRR Dinesh Jayaraman, Kristen Grauman
2017	—	`conf`	Pano2Vid: Automatic Cinematography for Watching 360° Videos. WICED@Eurographics Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman
2017	J	`jnl`	Unsupervised learning through one-shot image-based shape reconstruction. CoRR Dinesh Jayaraman, Ruohan Gao, Kristen Grauman
2016	—	`conf`	Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. ECCV (5) Dinesh Jayaraman, Kristen Grauman
2016	J	`jnl`	Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion. CoRR Dinesh Jayaraman, Kristen Grauman
2016	—	`conf`	Object-Centric Representation Learning from Unlabeled Videos. ACCV (5) Ruohan Gao, Dinesh Jayaraman, Kristen Grauman
2016	J	`jnl`	Object-Centric Representation Learning from Unlabeled Videos. CoRR Ruohan Gao, Dinesh Jayaraman, Kristen Grauman
2016	—	`conf`	Pano2Vid: Automatic Cinematography for Watching 360° Videos. ACCV (4) Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman
2016	J	`jnl`	Pano2Vid: Automatic Cinematography for Watching 360° Videos. CoRR Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman
2016	A*	`conf`	Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. CVPR Dinesh Jayaraman, Kristen Grauman
2015	A*	`conf`	Learning Image Representations Tied to Ego-Motion. ICCV Dinesh Jayaraman, Kristen Grauman
2015	J	`jnl`	Learning image representations equivariant to ego-motion. CoRR Dinesh Jayaraman, Kristen Grauman
2015	J	`jnl`	Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. CoRR Dinesh Jayaraman, Kristen Grauman
2014	A*	`conf`	Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. CVPR Dinesh Jayaraman, Fei Sha, Kristen Grauman
2014	J	`jnl`	Zero Shot Recognition with Unreliable Attributes. CoRR Dinesh Jayaraman, Kristen Grauman
2014	—	`conf`	Zero-shot recognition with unreliable attributes. NIPS Dinesh Jayaraman, Kristen Grauman
2012	—	`conf`	Objective quality assessment of multiply distorted images. ACSCC Dinesh Jayaraman, Anish Mittal, Anush K. Moorthy, Alan C. Bovik