Sherjil Ozair
TitleCited byYear
Generative adversarial nets
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in neural information processing systems, 2672-2680, 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
Generative adversarial networks
IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
arXiv preprint arXiv:1406.2661, 2014
Mine: mutual information neural estimation
MI Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ...
arXiv preprint arXiv:1801.04062, 2018
Efficient synthesis of probabilistic programs
AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy
ACM SIGPLAN Notices 50 (6), 208-217, 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
On variational bounds of mutual information
B Poole, S Ozair, A Oord, AA Alemi, G Tucker
arXiv preprint arXiv:1905.06922, 2019
Deep directed generative autoencoders
S Ozair, Y Bengio
arXiv preprint arXiv:1410.0630, 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
Multimodal transitions for generative stochastic networks
S Ozair, L Yao, Y Bengio
arXiv preprint arXiv:1312.5578, 2013
End to end speech recognition in English and Mandarin
D Amodei, R Anubhai, E Battenberg, C Case, J Casper, B Catanzaro, ...
Unsupervised State Representation Learning in Atari
A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm
arXiv preprint arXiv:1906.08226, 2019
Wasserstein dependency measure for representation learning
S Ozair, C Lynch, Y Bengio, A Oord, S Levine, P Sermanet
arXiv preprint arXiv:1903.11780, 2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
J Binas, S Ozair, Y Bengio
arXiv preprint arXiv:1905.09334, 2019
Learning Generative Models with Locally Disentangled Latent Factors
B Neal, A Lamb, S Ozair, D Hjelm, A Courville, Y Bengio, I Mitliagkas
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Articles 1–15