Sherjil Ozair

30 papers A* 10A 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2024 A* conf
Genie: Generative Interactive Environments.
ICML
Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024 J jnl
Genie: Generative Interactive Environments.
CoRR
Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2023 J jnl
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.
CoRR
Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals
2022 J jnl
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
2022 A* conf
Planning in Stochastic Environments with a Learned Model.
ICLR
Ioannis Antonoglou, Julian Schrittwieser, Sherjil Ozair, Thomas K. Hubert, David Silver
2022 A* conf
Procedural generalization by planning with self-supervised world models.
ICLR
Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick
2021 J jnl
Pretrained Encoders are All You Need.
CoRR
Mina Khan, P. Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes
2021 J jnl
Procedural Generalization by Planning with Self-Supervised World Models.
CoRR
Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick
2021 A* conf
Vector Quantized Models for Planning.
ICML
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2021 J jnl
Vector Quantized Models for Planning.
CoRR
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2020 J jnl
Generative adversarial networks.
Commun. ACM
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2020 A conf
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
WACV
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha
2019 A* conf
On Variational Bounds of Mutual Information.
ICML
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019 J jnl
On Variational Bounds of Mutual Information.
CoRR
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019 J jnl
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
CoRR
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha
2019 J jnl
The Journey is the Reward: Unsupervised Learning of Influential Trajectories.
CoRR
Jonathan Binas, Sherjil Ozair, Yoshua Bengio
2019 A* conf
Unsupervised State Representation Learning in Atari.
NeurIPS
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R. Devon Hjelm
2019 J jnl
Unsupervised State Representation Learning in Atari.
CoRR
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R. Devon Hjelm
2019 A* conf
Wasserstein Dependency Measure for Representation Learning.
NeurIPS
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2019 J jnl
Wasserstein Dependency Measure for Representation Learning.
CoRR
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2018 A* conf
Mutual Information Neural Estimation.
ICML
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville
2016 A* conf
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.
ICML
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu
2015 J jnl
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
2015 A* conf
Efficient synthesis of probabilistic programs.
PLDI
Aditya V. Nori, Sherjil Ozair, Sriram K. Rajamani, Deepak Vijaykeerthy
2014 J jnl
Deep Directed Generative Autoencoders.
CoRR
Sherjil Ozair, Yoshua Bengio
2014 — conf
Generative Adversarial Nets.
NIPS
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2014 J jnl
Generative Adversarial Networks.
CoRR
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2014 — conf
Multimodal Transitions for Generative Stochastic Networks.
ICLR (Workshop Poster)
Sherjil Ozair, Li Yao, Yoshua Bengio
2014 J jnl
On the Equivalence Between Deep NADE and Generative Stochastic Networks.
CoRR
Li Yao, Sherjil Ozair, Kyunghyun Cho, Yoshua Bengio
2014 — conf
On the Equivalence between Deep NADE and Generative Stochastic Networks.
ECML/PKDD (3)
Li Yao, Sherjil Ozair, Kyunghyun Cho, Yoshua Bengio