Tompson, Jonathan

35 publications

ICML 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski

ICLRW 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski

NeurIPS 2025 Self-Improving Embodied Foundation Models Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson, Pannag R Sanketi, Igor Mordatch

CoRL 2024 ALOHA Unleashed: A Simple Recipe for Robot Dexterity Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Seyed Kamyar Seyed Ghasemipour, Chelsea Finn, Ayzaan Wahid

NeurIPS 2024 FlexCap: Describe Anything in Images in Controllable Detail Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar

ICLR 2024 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel

ICLR 2024 Video Language Planning Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson

CoRL 2023 Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson

CoRL 2023 Geometry Matching for Multi-Embodiment Grasping Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson

NeurIPSW 2023 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel

NeurIPSW 2023 Learning Interactive Real-World Simulators Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel

ICML 2023 PaLM-E: An Embodied Multimodal Language Model Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

NeurIPSW 2022 Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson

CoRL 2022 Inner Monologue: Embodied Reasoning Through Planning with Language Models Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter

NeurIPSW 2022 Skill Acquisition by Instruction Augmentation on Offline Datasets Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson

CoRL 2021 Implicit Behavioral Cloning Pete Florence, Corey Lynch, Andy Zeng, Oscar A Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson

NeurIPSW 2021 Implicit Behavioral Cloning Pete Florence, Corey Lynch, Andy Zeng, Oscar A Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson

ICML 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum

ICCV 2021 With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

CoRL 2021 XIRL: Cross-Embodiment Inverse Reinforcement Learning Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi

ICLR 2020 Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov, Ofir Nachum, Jonathan Tompson

CoRL 2020 Transporter Networks: Rearranging the Visual World for Robotic Manipulation Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee

ICLR 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson

CoRL 2019 Learning Latent Plans from Play Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

ECCV 2018 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-up, Part-Based, Geometric Embedding Model George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

CVPRW 2018 Temporal Reasoning in Videos Using Convolutional Gated Recurrent Units Debidatta Dwibedi, Pierre Sermanet, Jonathan Tompson

ICML 2017 Accelerating Eulerian Fluid Simulation with Convolutional Networks Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin

ICLR 2017 Accelerating Eulerian Fluid Simulation with Convolutional Networks Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin

CoRL 2017 Learning Robotic Manipulation of Granular Media Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox

CVPR 2017 Towards Accurate Multi-Person Pose Estimation in the Wild George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

CVPR 2015 Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes with a Low Number of Cameras Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Micha Andriluka, Chris Bregler, Bernt Schiele, Christian Theobalt

CVPR 2015 Efficient Object Localization Using Convolutional Networks Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler

ICLR 2015 Unsupervised Feature Learning from Temporal Data Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

ICCV 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

ICLR 2014 Learning Human Pose Estimation Features with Convolutional Networks Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, Christoph Bregler