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Riemannian Diffusion Models


Aug 16, 2022
Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron Courville


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R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS


Jun 30, 2022
Kyle Kastner, Aaron Courville


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Building Robust Ensembles via Margin Boosting


Jun 07, 2022
Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

* Accepted by ICML 2022 

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Beyond Tabula Rasa: Reincarnating Reinforcement Learning


Jun 03, 2022
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare


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Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning


Jun 02, 2022
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni


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Cascaded Video Generation for Videos In-the-Wild


Jun 01, 2022
Lluis Castrejon, Nicolas Ballas, Aaron Courville

* Accepted to the 26th International Conference on Pattern Recognition (ICPR 2022). arXiv admin note: substantial text overlap with arXiv:2106.02719 

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The Primacy Bias in Deep Reinforcement Learning


May 16, 2022
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron Courville

* ICML 2022; code at https://github.com/evgenii-nikishin/rl_with_resets 

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Simplicial Embeddings in Self-Supervised Learning and Downstream Classification


Apr 01, 2022
Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron Courville

* 22 pages, 5 figures, 5 tables, Preprint 

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Generative Flow Networks for Discrete Probabilistic Modeling


Feb 03, 2022
Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, Yoshua Bengio

* 17 pages; code: https://github.com/zdhNarsil/EB_GFN 

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Fortuitous Forgetting in Connectionist Networks


Feb 01, 2022
Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville

* ICLR 2022 
* ICLR Camera Ready 

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