| Generative Adversarial Networks I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014 | 78495 | 2014 |
| 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 | 15320 | 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 | 3918 | 2016 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2562 | 2023 |
| Mutual Information Neural Estimation MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... International conference on machine learning, 531-540, 2018 | 2250* | 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 | 953 | 2019 |
| Generative adversarial networks (2014) IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661 1406, 2019 | 396 | 2019 |
| 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 | 313 | 2019 |
| 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 | 248 | 2022 |
| Genie: Generative interactive environments J Bruce, MD Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ... Forty-first International Conference on Machine Learning, 2024 | 124 | 2024 |
| 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 | 123 | 2019 |
| Maximum entropy generators for energy-based models R Kumar, S Ozair, A Goyal, A Courville, Y Bengio arXiv preprint arXiv:1901.08508, 2019 | 122 | 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 | 108 | 2014 |
| and Yoshua Bengio. Generative adversarial nets IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... NIPS, 2672-2680, 2014 | 93 | 2014 |
| Planning in stochastic environments with a learned model I Antonoglou, J Schrittwieser, S Ozair, TK Hubert, D Silver International Conference on Learning Representations, 2021 | 73 | 2021 |
| Efficient synthesis of probabilistic programs AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy ACM SIGPLAN Notices 50 (6), 208-217, 2015 | 64 | 2015 |
| 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 | 56 | 2021 |
| 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 | 51 | 2018 |
| MINE: mutual information neural estimation M Ishmael Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ... arXiv e-prints, arXiv: 1801.04062, 2018 | 42 | 2018 |
| 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 | 37 | 2021 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
