Henaff, Mikael

25 publications

CVPR 2025 Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
ICML 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D Paul Mcvay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
ICLR 2025 MaestroMotif: Skill Design from Artificial Intelligence Feedback Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
ICML 2024 Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
ICLR 2024 Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
CVPR 2024 OpenEQA: Embodied Question Answering in the Era of Foundation Models Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
ICML 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff, Minqi Jiang, Roberta Raileanu
NeurIPSW 2023 Learning to Solve New Sequential Decision-Making Tasks with In-Context Learning Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
NeurIPSW 2023 Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
NeurIPSW 2023 Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
ICML 2023 Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
ICLRW 2023 Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
NeurIPS 2022 Exploration via Elliptical Episodic Bonuses Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
NeurIPSW 2022 Integrating Episodic and Global Bonuses for Efficient Exploration Mikael Henaff, Minqi Jiang, Roberta Raileanu
NeurIPSW 2021 Imitation Learning from Pixel Observations for Continuous Control Samuel Cohen, Brandon Amos, Marc Peter Deisenroth, Mikael Henaff, Eugene Vinitsky, Denis Yarats
ICLR 2020 Disagreement-Regularized Imitation Learning Kiante Brantley, Wen Sun, Mikael Henaff
ICML 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
NeurIPS 2020 PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning Alekh Agarwal, Mikael Henaff, Sham Kakade, Wen Sun
NeurIPS 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff
ICLR 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff, Alfredo Canziani, Yann LeCun
ICLR 2017 Tracking the World State with Recurrent Entity Networks Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
ICML 2016 Recurrent Orthogonal Networks and Long-Memory Tasks Mikael Henaff, Arthur Szlam, Yann LeCun
AISTATS 2015 The Loss Surfaces of Multilayer Networks Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
JMLR 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery Alexander Statnikov, Sisi Ma, Mikael Henaff, Nikita Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
ICLR 2014 Fast Training of Convolutional Networks Through FFTs Michaël Mathieu, Mikael Henaff, Yann LeCun