Michaël Mathieu

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 8

Top Topics

Error Tolerance

Convolutional Network

Reinforcement Learning

Reliable Detection

Top Venues

Publications

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
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR (2023)
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
Open-Ended Learning Leads to Generally Capable Agents. CoRR (2021)
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
Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 575 (7782) (2019)
Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
Energy-based Generative Adversarial Networks. ICLR (Poster) (2017)
Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
Energy-based Generative Adversarial Network. CoRR (2016)
Michaël Mathieu, Camille Couprie, Yann LeCun
Deep multi-scale video prediction beyond mean square error. ICLR (Poster) (2016)
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
Disentangling factors of variation in deep representations using adversarial training. CoRR (2016)
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
Disentangling factors of variation in deep representation using adversarial training. NIPS (2016)
Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun
Stacked What-Where Auto-encoders. CoRR (2015)
Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR (2015)
Ross Goroshin, Michaël Mathieu, Yann LeCun
Learning to Linearize Under Uncertainty. CoRR (2015)
Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) (2015)
Ross Goroshin, Michaël Mathieu, Yann LeCun
Learning to Linearize Under Uncertainty. NIPS (2015)
Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
The Loss Surfaces of Multilayer Networks. AISTATS (2015)
Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR (2014)
Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
The Loss Surface of Multilayer Networks. CoRR (2014)
Michaël Mathieu, Yann LeCun
Fast Approximation of Rotations and Hessians matrices. CoRR (2014)
Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra
Video (language) modeling: a baseline for generative models of natural videos. CoRR (2014)
Michaël Mathieu, Mikael Henaff, Yann LeCun
Fast Training of Convolutional Networks through FFTs. ICLR (Poster) (2014)
Guillaume Claret, Michaël Mathieu, David Naccache, Guillaume Seguin
Physical Simulation of Inarticulate Robots. Cryptography and Security (2012)
Guillaume Claret, Michaël Mathieu, David Naccache, Guillaume Seguin
Physical Simulation of Inarticulate Robots CoRR (2011)
Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun
Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS (2010)