| 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 | 5484 | 2013 |
| 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 | 1834 | 2019 |
| Deep multi-scale video prediction beyond mean square error M Mathieu, C Couprie, Y LeCun arXiv preprint arXiv:1511.05440, 2015 | 1723 | 2015 |
| The loss surfaces of multilayer networks A Choromanska, M Henaff, M Mathieu, GB Arous, Y LeCun Artificial intelligence and statistics, 192-204, 2015 | 1239 | 2015 |
| Energy-based generative adversarial network J Zhao, M Mathieu, Y LeCun arXiv preprint arXiv:1609.03126, 2016 | 1205 | 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, 2010 | 685 | 2010 |
| Fast training of convolutional networks through ffts M Mathieu, M Henaff, Y LeCun arXiv preprint arXiv:1312.5851, 2013 | 623 | 2013 |
| 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 | 433 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 2019 | 409 | 2019 |
| 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 | 394 | 2014 |
| 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 | 333 | 2014 |
| Stacked what-where auto-encoders J Zhao, M Mathieu, R Goroshin, Y Lecun arXiv preprint arXiv:1506.02351, 2015 | 300 | 2015 |
| Learning longer memory in recurrent neural networks T Mikolov, A Joulin, S Chopra, M Mathieu, MA Ranzato arXiv preprint arXiv:1412.7753, 2014 | 276 | 2014 |
| Learning to linearize under uncertainty R Goroshin, MF Mathieu, Y LeCun Advances in neural information processing systems 28, 2015 | 117 | 2015 |
| How to train a GAN? Tips and tricks to make GANs work S Chintala, E Denton, M Arjovsky, M Mathieu Github. com, 2016 | 100 | 2016 |
| 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 | 32 | 2021 |
| Fast approximation of rotations and hessians matrices M Mathieu, Y LeCun arXiv preprint arXiv:1404.7195, 2014 | 19 | 2014 |
| Unsupervised Learning Under Uncertainty M Mathieu New York University, 2017 | 2 | 2017 |
| 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 | 1 | 2021 |
| Physical simulation of inarticulate robots G Claret, M Mathieu, D Naccache, G Seguin Cryptography and Security: From Theory to Applications, 491-499, 2012 | | 2012 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityAdresse e-mail validée de cs.nyu.edu
