| Generative adversarial networks I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Communications of the ACM 63 (11), 139-144, 2020 | 61285 | 2020 |
| Deep speech 2: End-to-end speech recognition in english and mandarin D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ... International conference on machine learning, 173-182, 2016 | 3206 | 2016 |
| Mutual information neural estimation MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... International conference on machine learning, 531-540, 2018 | 941 | 2018 |
| On variational bounds of mutual information B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker International Conference on Machine Learning, 5171-5180, 2019 | 549 | 2019 |
| Mine: mutual information neural estimation MI Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ... arXiv preprint arXiv:1801.04062, 2018 | 520 | 2018 |
| Unsupervised state representation learning in atari A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm Advances in neural information processing systems 32, 2019 | 218 | 2019 |
| Generative adversarial nets M Mirza, B Xu, D Warde-Farley, S Ozair, A Courville, Y Bengio, ... Advances in neural information processing systems 27, 2672-2680, 2014 | 120 | 2014 |
| & Bengio, Y.(2014) I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair Generative adversarial nets 27, 2014 | 112 | 2014 |
| Maximum entropy generators for energy-based models R Kumar, S Ozair, A Goyal, A Courville, Y Bengio arXiv preprint arXiv:1901.08508, 2019 | 100 | 2019 |
| Wasserstein dependency measure for representation learning S Ozair, C Lynch, Y Bengio, A Van den Oord, S Levine, P Sermanet Advances in Neural Information Processing Systems 32, 2019 | 83 | 2019 |
| Proceedings of the 27th International Conference on Neural Information Processing Systems IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Proceedings of the 27th International Conference on Neural Information …, 2014 | 79 | 2014 |
| Efficient synthesis of probabilistic programs AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy ACM SIGPLAN Notices 50 (6), 208-217, 2015 | 54 | 2015 |
| On variational lower bounds of mutual information B Poole, S Ozair, A van den Oord, AA Alemi, G Tucker NeurIPS Workshop on Bayesian Deep Learning, 2018 | 40 | 2018 |
| Generative adversarial nets J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, A Courvill, ... arXiv preprint arXiv:1406.2661, 2014 | 37 | 2014 |
| Mastering the game of Stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022 | 31 | 2022 |
| Vector quantized models for planning S Ozair, Y Li, A Razavi, I Antonoglou, A Van Den Oord, O Vinyals International Conference on Machine Learning, 8302-8313, 2021 | 24 | 2021 |
| Deep directed generative autoencoders S Ozair, Y Bengio arXiv preprint arXiv:1410.0630, 2014 | 22 | 2014 |
| Procedural generalization by planning with self-supervised world models A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ... arXiv preprint arXiv:2111.01587, 2021 | 20 | 2021 |
| Planning in stochastic environments with a learned model I Antonoglou, J Schrittwieser, S Ozair, TK Hubert, D Silver International Conference on Learning Representations, 2021 | 19 | 2021 |
| On the equivalence between deep nade and generative stochastic networks L Yao, S Ozair, K Cho, Y Bengio Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 13 | 2014 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
