Generative Adversarial Nets. - Ian J. Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron C. Courville; Yoshua Bengio (NIPS, 2014)

On the Equivalence between Deep NADE and Generative Stochastic Networks. - Li Yao; Sherjil Ozair; KyungHyun Cho; Yoshua Bengio (ECML/PKDD (3), 2014)

Deep Directed Generative Autoencoders. - Sherjil Ozair; Yoshua Bengio (CoRR, 2014)

Multimodal Transitions for Generative Stochastic Networks. - Sherjil Ozair; Li Yao; Yoshua Bengio (ICLR (Workshop Poster), 2014)

Efficient synthesis of probabilistic programs. - Aditya V. Nori; Sherjil Ozair; Sriram K. Rajamani; Deepak Vijaykeerthy (PLDI, 2015)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Mutual Information Neural Estimation. - Mohamed Ishmael Belghazi; Aristide Baratin; Sai Rajeswar; Sherjil Ozair; Yoshua Bengio; R. Devon Hjelm; Aaron C. Courville (ICML, 2018)

On Variational Bounds of Mutual Information. - Ben Poole; Sherjil Ozair; Aäron van den Oord; Alexander A. Alemi; George Tucker (ICML, 2019)

Unsupervised State Representation Learning in Atari. - Ankesh Anand; Evan Racah; Sherjil Ozair; Yoshua Bengio; Marc-Alexandre Côté; R. Devon Hjelm (NeurIPS, 2019)

Wasserstein Dependency Measure for Representation Learning. - Sherjil Ozair; Corey Lynch; Yoshua Bengio; Aäron van den Oord; Sergey Levine; Pierre Sermanet (NeurIPS, 2019)

The Journey is the Reward: Unsupervised Learning of Influential Trajectories. - Jonathan Binas; Sherjil Ozair; Yoshua Bengio (CoRR, 2019)

SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. - Alex Lamb; Sherjil Ozair; Vikas Verma; David Ha (WACV, 2020)

Generative adversarial networks. - Ian J. Goodfellow; Jean Pouget-Abadie; Mehdi Mirza; Bing Xu; David Warde-Farley; Sherjil Ozair; Aaron C. Courville; Yoshua Bengio (Commun. ACM, 2020)

Vector Quantized Models for Planning. - Sherjil Ozair; Yazhe Li; Ali Razavi; Ioannis Antonoglou; Aäron van den Oord; Oriol Vinyals (ICML, 2021)

Pretrained Encoders are All You Need. - Mina Khan; P. Srivatsa; Advait Rane; Shriram Chenniappa; Rishabh Anand; Sherjil Ozair; Pattie Maes (CoRR, 2021)

Procedural generalization by planning with self-supervised world models. - Ankesh Anand; Jacob C. Walker; Yazhe Li; Eszter Vértes; Julian Schrittwieser; Sherjil Ozair; Theophane Weber; Jessica B. Hamrick (ICLR, 2022)

Planning in Stochastic Environments with a Learned Model. - Ioannis Antonoglou; Julian Schrittwieser; Sherjil Ozair; Thomas K. Hubert; David Silver (ICLR, 2022)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. - 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; et al. (CoRR, 2023)

Genie: Generative Interactive Environments. - Jake Bruce; Michael D. Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi; Edward Hughes 001; Matthew Lai; Aditi Mavalankar; Richie Steigerwald; Chris Apps; Yusuf Aytar; Sarah Bechtle; et al. (ICML, 2024)