Mikael Henaff - RankMe

42 papers A* 14A 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Surprising Difficulty of Search in Model-Based Reinforcement Learning. CoRR Wei-Di Chang, Mikael Henaff, Brandon Amos, Gregory Dudek, Scott Fujimoto
2025	A*	`conf`	Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. CVPR Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025	J	`jnl`	Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. CoRR Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025	A*	`conf`	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D. ICML 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
2025	J	`jnl`	Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. CoRR Sergio Arnaud, Paul McVay, 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
2025	A*	`conf`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. ICLR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2025	J	`jnl`	Scalable Option Learning in High-Throughput Environments. CoRR Mikael Henaff, Scott Fujimoto, Michael Matthews, Michael Rabbat
2024	A*	`conf`	Generalization to New Sequential Decision Making Tasks with In-Context Learning. ICML Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2024	J	`jnl`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. CoRR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2024	A*	`conf`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2024	J	`jnl`	Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback. CoRR Qinqing Zheng, Mikael Henaff, Amy Zhang, Aditya Grover, Brandon Amos
2024	A*	`conf`	OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 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-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
2023	A*	`conf`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2023	J	`jnl`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2023	A*	`conf`	Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. ICML Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2022	A*	`conf`	Exploration via Elliptical Episodic Bonuses. NeurIPS Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	Exploration via Elliptical Episodic Bonuses. CoRR Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. CoRR Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2020	A*	`conf`	Disagreement-Regularized Imitation Learning. ICLR Kianté Brantley, Wen Sun, Mikael Henaff
2020	A*	`conf`	Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. ICML Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
2020	A*	`conf`	PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning. NeurIPS Alekh Agarwal, Mikael Henaff, Sham M. Kakade, Wen Sun
2020	J	`jnl`	PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning. CoRR Alekh Agarwal, Mikael Henaff, Sham M. Kakade, Wen Sun
2019	A*	`conf`	Explicit Explore-Exploit Algorithms in Continuous State Spaces. NeurIPS Mikael Henaff
2019	J	`jnl`	Explicit Explore-Exploit Algorithms in Continuous State Spaces. CoRR Mikael Henaff
2019	J	`jnl`	Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. CoRR Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
2019	—	`conf`	Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. ICLR (Poster) Mikael Henaff, Alfredo Canziani, Yann LeCun
2019	J	`jnl`	Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. CoRR Mikael Henaff, Alfredo Canziani, Yann LeCun
2018	—	`—`	Deep Networks for Forward Prediction and Planning. Mikael Henaff
2017	J	`jnl`	Model-Based Planning in Discrete Action Spaces. CoRR Mikael Henaff, William F. Whitney, Yann LeCun
2017	J	`jnl`	Prediction Under Uncertainty with Error-Encoding Networks. CoRR Mikael Henaff, Junbo Jake Zhao, Yann LeCun
2017	—	`conf`	Tracking the World State with Recurrent Entity Networks. ICLR (Poster) Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
2016	J	`jnl`	Orthogonal RNNs and Long-Memory Tasks. CoRR Mikael Henaff, Arthur Szlam, Yann LeCun
2016	A*	`conf`	Recurrent Orthogonal Networks and Long-Memory Tasks. ICML Mikael Henaff, Arthur Szlam, Yann LeCun
2016	J	`jnl`	Tracking the World State with Recurrent Entity Networks. CoRR Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
2015	J	`jnl`	Deep Convolutional Networks on Graph-Structured Data. CoRR Mikael Henaff, Joan Bruna, Yann LeCun
2015	A	`conf`	The Loss Surfaces of Multilayer Networks. AISTATS Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2015	J	`jnl`	Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. J. Mach. Learn. Res. Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
2014	—	`conf`	Fast Training of Convolutional Networks through FFTs. ICLR (Poster) Michaël Mathieu, Mikael Henaff, Yann LeCun
2014	J	`jnl`	The Loss Surface of Multilayer Networks. CoRR Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2011	—	`conf`	Unsupervised Learning of Sparse Features for Scalable Audio Classification. ISMIR Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun