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Michael Mathieu
Michael Mathieu
DeepMind
Geverifieerd e-mailadres voor google.com
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Overfeat: Integrated recognition, localization and detection using convolutional networks
P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y LeCun
arXiv preprint arXiv:1312.6229, 2013
77462013
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
4814*2019
Deep multi-scale video prediction beyond mean square error
M Mathieu, C Couprie, Y LeCun
arXiv preprint arXiv:1511.05440, 2015
23032015
The loss surfaces of multilayer networks
A Choromanska, M Henaff, M Mathieu, GB Arous, Y LeCun
Artificial intelligence and statistics, 192-204, 2015
15952015
Energy-based generative adversarial network
J Zhao, M Mathieu, Y LeCun
arXiv preprint arXiv:1609.03126, 2016
15782016
Fast training of convolutional networks through ffts
M Mathieu, M Henaff, Y LeCun
arXiv preprint arXiv:1312.5851, 2013
7982013
Learning convolutional feature hierarchies for visual recognition
K Kavukcuoglu, P Sermanet, YL Boureau, K Gregor, M Mathieu, Y Cun
Advances in neural information processing systems 23, 2010
7472010
Disentangling factors of variation in deep representation using adversarial training
MF Mathieu, JJ Zhao, J Zhao, A Ramesh, P Sprechmann, Y LeCun
Advances in neural information processing systems 29, 2016
5572016
Video (language) modeling: a baseline for generative models of natural videos
MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra
arXiv preprint arXiv:1412.6604, 2014
5232014
Fast convolutional nets with fbfft: A GPU performance evaluation
N Vasilache, J Johnson, M Mathieu, S Chintala, S Piantino, Y LeCun
arXiv preprint arXiv:1412.7580, 2014
4052014
Stacked what-where auto-encoders
J Zhao, M Mathieu, R Goroshin, Y Lecun
arXiv preprint arXiv:1506.02351, 2015
3542015
Learning longer memory in recurrent neural networks
T Mikolov, A Joulin, S Chopra, M Mathieu, MA Ranzato
arXiv preprint arXiv:1412.7753, 2014
3142014
Open-ended learning leads to generally capable agents
OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...
arXiv preprint arXiv:2107.12808, 2021
1492021
Learning to linearize under uncertainty
R Goroshin, MF Mathieu, Y LeCun
Advances in neural information processing systems 28, 2015
1442015
How to train a GAN? Tips and tricks to make GANs work
S Chintala, E Denton, M Arjovsky, M Mathieu
GitHub, Dec, 2016
892016
Deep multi-scale video prediction beyond mean square error. arXiv 2015
M Mathieu, C Couprie, Y Lecun
arXiv preprint arXiv:1511.05440, 2015
522015
Fast approximation of rotations and Hessians matrices
M Mathieu, Y LeCun
arXiv preprint arXiv:1404.7195, 2014
272014
Starcraft ii unplugged: Large scale offline reinforcement learning
M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ...
Deep RL Workshop NeurIPS 2021, 2021
162021
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ...
arXiv preprint arXiv:2308.03526, 2023
62023
Unsupervised Learning Under Uncertainty
M Mathieu
New York University, 2017
52017
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Artikelen 1–20