Sherjil Ozair
Sherjil Ozair
DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Generative adversarial nets
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in neural information processing systems 27, 2014
335452014
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
21872016
Mutual information neural estimation
MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ...
International Conference on Machine Learning, 531-540, 2018
3712018
Mine: mutual information neural estimation
MI Belghazi, A Baratin, S Rajeswar, S Ozair, Y Bengio, A Courville, ...
arXiv preprint arXiv:1801.04062, 2018
3102018
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
2032019
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
962020
Unsupervised state representation learning in atari
A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm
arXiv preprint arXiv:1906.08226, 2019
862019
Maximum entropy generators for energy-based models
R Kumar, S Ozair, A Goyal, A Courville, Y Bengio
arXiv preprint arXiv:1901.08508, 2019
462019
Efficient synthesis of probabilistic programs
AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy
ACM SIGPLAN Notices 50 (6), 208-217, 2015
422015
Wasserstein dependency measure for representation learning
S Ozair, C Lynch, Y Bengio, A Oord, S Levine, P Sermanet
arXiv preprint arXiv:1903.11780, 2019
392019
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
292018
Deep directed generative autoencoders
S Ozair, Y Bengio
arXiv preprint arXiv:1410.0630, 2014
192014
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
132014
Multimodal transitions for generative stochastic networks
S Ozair, L Yao, Y Bengio
arXiv preprint arXiv:1312.5578, 2013
112013
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
42020
The journey is the reward: Unsupervised learning of influential trajectories
J Binas, S Ozair, Y Bengio
arXiv preprint arXiv:1905.09334, 2019
32019
Pretrained Encoders are All You Need
M Khan, P Srivatsa, A Rane, S Chenniappa, R Anand, S Ozair, P Maes
arXiv preprint arXiv:2106.05139, 2021
2021
Vector Quantized Models for Planning
S Ozair, Y Li, A Razavi, I Antonoglou, A Oord, O Vinyals
arXiv preprint arXiv:2106.04615, 2021
2021
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, ...
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