Sherjil Ozair

Computer Science · Physical Sciences

15h-index21.8kcitations34works11.02yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(13), Reinforcement Learning in Robotics(8), Domain Adaptation and Few-Shot Learning(5), Artificial Intelligence in Games(5), Natural Language Processing Techniques(3)

Publications33 total

Genie: Generative Interactive Environments
arXiv (Cornell University)·2024· 11 citedOpen Access
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
arXiv (Cornell University)·2023· 5 citedOpen Access
Mastering the game of Stratego with model-free multiagent reinforcement learning
Science·2022· 136 cited
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
arXiv (Cornell University)·2022· 5 citedOpen Access
Procedural Generalization by Planning with Self-Supervised World Models
arXiv (Cornell University)·2021· 4 citedOpen Access
Pretrained Encoders are All You Need
arXiv (Cornell University)·2021· 2 citedOpen Access
Vector Quantized Models for Planning
arXiv (Cornell University)·2021Open Access
Generative adversarial networks
Communications of the ACM·2020· 12.8k citedOpen Access
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
2020· 2 cited
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
2020· 6 cited
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
arXiv (Cornell University)·2019Open Access
Unsupervised State Representation Learning in Atari
arXiv (Cornell University)·2019· 27 citedOpen Access
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
arXiv (Cornell University)·2019· 3 citedOpen Access
On Variational Bounds of Mutual Information
arXiv (Cornell University)·2019· 153 citedOpen Access
Wasserstein Dependency Measure for Representation Learning
arXiv (Cornell University)·2019· 20 citedOpen Access
Mutual Information Neural Estimation.
International Conference on Machine Learning·2018· 596 cited
Learning Generative Models with Locally Disentangled Latent Factors
2018
MINE: Mutual Information Neural Estimation
arXiv (Cornell University)·2018· 303 citedOpen Access
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Frequent Co-authors

Yoshua Bengio(13), Aaron Courville(5), Mina Khan(5), David Warde-Farley(4), Aäron van den Oord(4), Julien Pérolat(4), Bart De Vylder(4), Daniel Hennes(4), Eugene Tarassov(4), Florian Strub(4), Jerome T. Connor(4), Neil Burch(4), Stephen McAleer(4), Romuald Élie(4), Audrūnas Gruslys(4), Aleksandra Malysheva(4), Finbarr Timbers(4), Toby Pohlen(4), Tom Eccles(4), Marc Lanctot(4)