Michael Mathieu
Michael Mathieu
Verified email at google.com
Cited by
Cited by
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
Deep multi-scale video prediction beyond mean square error
M Mathieu, C Couprie, Y LeCun
arXiv preprint arXiv:1511.05440, 2015
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
The loss surfaces of multilayer networks
A Choromanska, M Henaff, M Mathieu, GB Arous, Y LeCun
Artificial intelligence and statistics, 192-204, 2015
Energy-based generative adversarial network
J Zhao, M Mathieu, Y LeCun
arXiv preprint arXiv:1609.03126, 2016
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, 1090-1098, 2010
Fast training of convolutional networks through ffts
M Mathieu, M Henaff, Y LeCun
arXiv preprint arXiv:1312.5851, 2013
Disentangling factors of variation in deep representations using adversarial training
M Mathieu, J Zhao, P Sprechmann, A Ramesh, Y LeCun
arXiv preprint arXiv:1611.03383, 2016
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
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 2019
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
Stacked what-where auto-encoders
J Zhao, M Mathieu, R Goroshin, Y Lecun
arXiv preprint arXiv:1506.02351, 2015
Learning longer memory in recurrent neural networks
T Mikolov, A Joulin, S Chopra, M Mathieu, MA Ranzato
arXiv preprint arXiv:1412.7753, 2014
Learning to linearize under uncertainty
R Goroshin, M Mathieu, Y LeCun
arXiv preprint arXiv:1506.03011, 2015
How to train a GAN? Tips and tricks to make GANs work
S Chintala, E Denton, M Arjovsky, M Mathieu
Github. com, 2016
Fast approximation of rotations and hessians matrices
M Mathieu, Y LeCun
arXiv preprint arXiv:1404.7195, 2014
Overfeat: Integrated recognition, localization and detection using convolutional networks
M Mathieu, Y LeCun, R Fergus, D Eigen, P Sermanet, X Zhang
Open-ended learning leads to generally capable agents
EL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...
arXiv preprint arXiv:2107.12808, 2021
Unsupervised Learning Under Uncertainty
M Mathieu
New York University, 2017
D.: OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks arXiv
P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y Lecun
1312. 6229v3 [cs. CV] 14, 2014
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