| Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2014 | 28459 | 2014 |
| 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 | 1940 | 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 | 257 | 2018 |
| Mine: mutual information neural estimation MI Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ... arXiv preprint arXiv:1801.04062, 2018 | 248 | 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 | 130 | 2019 |
| Unsupervised state representation learning in atari A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm arXiv preprint arXiv:1906.08226, 2019 | 57 | 2019 |
| Generative adversarial networks. arXiv 2014 IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2020 | 50 | 2020 |
| Efficient synthesis of probabilistic programs AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy ACM SIGPLAN Notices 50 (6), 208-217, 2015 | 38 | 2015 |
| Maximum entropy generators for energy-based models R Kumar, S Ozair, A Goyal, A Courville, Y Bengio arXiv preprint arXiv:1901.08508, 2019 | 32 | 2019 |
| 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 | 29 | 2018 |
| Wasserstein dependency measure for representation learning S Ozair, C Lynch, Y Bengio, A Oord, S Levine, P Sermanet arXiv preprint arXiv:1903.11780, 2019 | 23 | 2019 |
| Deep directed generative autoencoders S Ozair, Y Bengio arXiv preprint arXiv:1410.0630, 2014 | 18 | 2014 |
| On the equivalence between deep nade and generative stochastic networks L Yao, S Ozair, K Cho, Y Bengio Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 13 | 2014 |
| YoshuaBengio.” I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Generative adversarial nets.” In Advances in neuralinformation processing …, 2014 | 11 | 2014 |
| Multimodal transitions for generative stochastic networks S Ozair, L Yao, Y Bengio arXiv preprint arXiv:1312.5578, 2013 | 11 | 2013 |
| SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks A Lamb, S Ozair, V Verma, D Ha Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 2 | 2020 |
| The journey is the reward: Unsupervised learning of influential trajectories J Binas, S Ozair, Y Bengio arXiv preprint arXiv:1905.09334, 2019 | 1 | 2019 |
| Learning Generative Models with Locally Disentangled Latent Factors B Neal, A Lamb, S Ozair, D Hjelm, A Courville, Y Bengio, I Mitliagkas | | 2018 |
| Mutual Information Neural Estimation Download PDF MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... | | |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAREmail verificata su umontreal.ca
