Philippe Hansen-Estruch

According to our database, Philippe Hansen-Estruch authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters.

Philippe Hansen-Estruch, Jiahui Chen, Vivek Ramanujan, Orr Zohar, Yan Ping, Animesh Sinha, Markos Georgopoulos, Edgar Schönfeld, Ji Hou, Felix Juefei-Xu, Sriram Vishwanath, Ali K. Thabet

CoRR, May, 2026

Unified Text-Image Generation with Weakness-Targeted Post-Training.

Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han, Yushi Hu, Emily Dinan, Amita Kamath, Michal Drozdzal, Reyhane Askari Hemmat, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, January, 2026

2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

CoRR, January, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Apollo: An Exploration of Video Understanding in Large Multimodal Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Video Occupancy Models.

Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine

CoRR, 2024

Unified Auto-Encoding with Masked Diffusion.

Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar

CoRR, 2024

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.

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

RLJ, 2024

2023

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine

CoRR, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

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

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning.

Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

2021

GEM: Group Enhanced Model for Learning Dynamical Control Systems.

Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin

CoRR, 2021