Michaël Mathieu

Computer Science · Physical Sciences

21h-index9.4kcitations29works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Generative Adversarial Networks and Image Synthesis(10), Advanced Neural Network Applications(5), Neural Networks and Applications(5), Advanced Image and Video Retrieval Techniques(4), Digital Media Forensic Detection(4)

Publications29 total

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
arXiv (Cornell University)·2023· 5 citedOpen Access
Open-Ended Learning Leads to Generally Capable Agents
arXiv (Cornell University)·2021· 54 citedOpen Access
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Nature·2019· 3.3k cited
Energy-based Generative Adversarial Networks
International Conference on Learning Representations·2017· 113 cited
Disentangling factors of variation in deep representations using\n adversarial training
arXiv (Cornell University)·2016· 28 citedOpen Access
Disentangling factors of variation in deep representations using adversarial training
arXiv (Cornell University)·2016· 252 citedOpen Access
Energy-based Generative Adversarial Network
arXiv (Cornell University)·2016· 891 citedOpen Access
Deep multi-scale video prediction beyond mean square error
arXiv (Cornell University)·2015· 368 citedOpen Access
Learning to Linearize Under Uncertainty
arXiv (Cornell University)·2015· 34 citedOpen Access
Stacked What-Where Auto-encoders
arXiv (Cornell University)·2015· 228 citedOpen Access
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
arXiv (Cornell University)·2014· 251 citedOpen Access
Learning Longer Memory in Recurrent Neural Networks
arXiv (Cornell University)·2014· 198 citedOpen Access
Learning Longer Memory in Recurrent Neural Networks
arXiv (Cornell University)·2014· 18 citedOpen Access
Video (language) modeling: a baseline for generative models of natural videos
arXiv (Cornell University)·2014· 302 citedOpen Access
The Loss Surfaces of Multilayer Networks
arXiv (Cornell University)·2014· 714 citedOpen Access
The Loss Surface of Multilayer Networks.
arXiv (Cornell University)·2014· 79 citedOpen Access
Fast Approximation of Rotations and Hessians matrices
arXiv (Cornell University)·2014· 22 citedOpen Access
Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014
International Conference on Learning Representations·2014· 6 cited
Fast Training of Convolutional Networks through FFTs
International Conference on Learning Representations·2014· 319 cited
Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014
International Conference on Learning Representations·2014· 25 cited
page 1 of 2Next →

Frequent Co-authors

Yann LeCun(17), Mikael Henaff(5), Pierre Sermanet(4), Junbo Zhao(4), Wojciech Marian Czarnecki(3), David Eigen(3), Rob Fergus(3), Sumit Chopra(3), Oriol Vinyals(2), I. Babuschkin(2), David Choi(2), Timo Ewalds(2), Petko Georgiev(2), Aja Huang(2), Max Jaderberg(2), Valentin Dalibard(2), Tom Le Paine(2), Çaǧlar Gülçehre(2), Roman Ring(2), Koray Kavukcuoglu(2)