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 | 69105 | 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 | 9507 | 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 | 3611 | 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 | 1871* | 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 | 770 | 2019 |
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 550 | 2023 |
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 | 270 | 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 | 146 | 2022 |
Maximum entropy generators for energy-based models R Kumar, S Ozair, A Goyal, A Courville, Y Bengio arXiv preprint arXiv:1901.08508, 2019 | 111 | 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 | 103 | 2019 |
& Bengio, Y.(2014). Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2014 | 76 | 2014 |
Efficient synthesis of probabilistic programs AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy ACM SIGPLAN Notices 50 (6), 208-217, 2015 | 59 | 2015 |
Planning in stochastic environments with a learned model I Antonoglou, J Schrittwieser, S Ozair, TK Hubert, D Silver International Conference on Learning Representations, 2021 | 54 | 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 | 47 | 2018 |
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 | 42 | 2021 |
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 | 36 | 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 | 27 | 2021 |
Deep directed generative autoencoders S Ozair, Y Bengio arXiv preprint arXiv:1410.0630, 2014 | 24 | 2014 |
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 | 16 | 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 | 14 | 2014 |