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Riemannian Diffusion Schrödinger Bridge


Jul 07, 2022
James Thornton, Michael Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet

* Accepted to Continuous Time Methods for Machine Learning, ICML 2022 

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When Does Re-initialization Work?


Jun 20, 2022
Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu


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Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations


Jun 09, 2022
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh


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Conformal Off-Policy Prediction in Contextual Bandits


Jun 09, 2022
Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet


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Pre-training via Denoising for Molecular Property Prediction


May 31, 2022
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter Battaglia, Razvan Pascanu, Jonathan Godwin


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Learning Instance-Specific Data Augmentations


May 31, 2022
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim


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Meta-Learning Sparse Compression Networks


May 18, 2022
Jonathan Richard Schwarz, Yee Whye Teh


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UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography


Feb 22, 2022
Francisca Vasconcelos, Bobby He, Nalini Singh, Yee Whye Teh


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Riemannian Score-Based Generative Modeling


Feb 06, 2022
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet

* 31 pages 

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COIN++: Data Agnostic Neural Compression


Jan 30, 2022
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Goliński, Yee Whye Teh, Arnaud Doucet


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