Philippe Hansen-Estruch

17 papers A* 3Misc 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unified Text-Image Generation with Weakness-Targeted Post-Training.
CoRR
Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han, Yushi Hu, Emily Dinan, Amita Kamath, Michal Drozdzal, Reyhane Askari Hemmat, Luke Zettlemoyer, Marjan Ghazvininejad
2025 A* conf
Apollo: An Exploration of Video Understanding in Large Multimodal Models.
CVPR
Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia
2025 A* conf
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.
ICML
Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
2025 J jnl
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.
CoRR
Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
2024 J jnl
Apollo: An Exploration of Video Understanding in Large Multimodal Models.
CoRR
Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia
2024 J jnl
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.
RLJ
Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn
2024 J jnl
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.
CoRR
Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine
2024 J jnl
Unified Auto-Encoding with Masked Diffusion.
CoRR
Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar
2024 J jnl
Video Occupancy Models.
CoRR
Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine
2023 Misc conf
BridgeData V2: A Dataset for Robot Learning at Scale.
CoRL
Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine
2023 J jnl
BridgeData V2: A Dataset for Robot Learning at Scale.
CoRR
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Maximilian Du, Chongyi Zheng, Tony Z. Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine
2023 Misc conf
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.
CoRL
Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
2023 J jnl
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.
CoRR
Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
2023 J jnl
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.
CoRR
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine
2022 A* conf
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning.
ICML
Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine
2022 J jnl
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning.
CoRR
Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine
2021 J jnl
GEM: Group Enhanced Model for Learning Dynamical Control Systems.
CoRR
Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin