Michaël Mathieu

23 papers A* 1A 1Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals
2021	J	`jnl`	Open-Ended Learning Leads to Generally Capable Agents. CoRR Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2017	—	`conf`	Energy-based Generative Adversarial Networks. ICLR (Poster) Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
2017	—	`—`	Unsupervised Learning Under Uncertainty. Michaël Mathieu
2016	A*	`conf`	Deep multi-scale video prediction beyond mean square error. ICLR (Poster) Michaël Mathieu, Camille Couprie, Yann LeCun
2016	—	`conf`	Disentangling factors of variation in deep representation using adversarial training. NIPS Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016	J	`jnl`	Disentangling factors of variation in deep representations using adversarial training. CoRR Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016	J	`jnl`	Energy-based Generative Adversarial Network. CoRR Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
2015	—	`conf`	Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
2015	—	`conf`	Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
2015	—	`conf`	Learning to Linearize Under Uncertainty. NIPS Ross Goroshin, Michaël Mathieu, Yann LeCun
2015	J	`jnl`	Learning to Linearize Under Uncertainty. CoRR Ross Goroshin, Michaël Mathieu, Yann LeCun
2015	J	`jnl`	Stacked What-Where Auto-encoders. CoRR Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun
2015	A	`conf`	The Loss Surfaces of Multilayer Networks. AISTATS Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2014	J	`jnl`	Fast Approximation of Rotations and Hessians matrices. CoRR Michaël Mathieu, Yann LeCun
2014	—	`conf`	Fast Training of Convolutional Networks through FFTs. ICLR (Poster) Michaël Mathieu, Mikael Henaff, Yann LeCun
2014	—	`conf`	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
2014	J	`jnl`	The Loss Surface of Multilayer Networks. CoRR Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2014	J	`jnl`	Video (language) modeling: a baseline for generative models of natural videos. CoRR Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra
2012	—	`conf`	Physical Simulation of Inarticulate Robots. Cryptography and Security Guillaume Claret, Michaël Mathieu, David Naccache, Guillaume Seguin
2011	J	`jnl`	Physical Simulation of Inarticulate Robots CoRR Guillaume Claret, Michaël Mathieu, David Naccache, Guillaume Seguin
2010	—	`conf`	Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun