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Tom Rainforth

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Making Better Use of Unlabelled Data in Bayesian Active Learning

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Apr 26, 2024
Freddie Bickford Smith, Adam Foster, Tom Rainforth

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Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

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Feb 07, 2024
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi Jaakkola

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Rethinking Variational Inference for Probabilistic Programs with Stochastic Support

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Nov 01, 2023
Tim Reichelt, Luke Ong, Tom Rainforth

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Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support

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Oct 23, 2023
Tim Reichelt, Luke Ong, Tom Rainforth

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In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning

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Aug 07, 2023
Jannik Kossen, Tom Rainforth, Yarin Gal

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SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

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Aug 02, 2023
Ning Miao, Yee Whye Teh, Tom Rainforth

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On the Expected Size of Conformal Prediction Sets

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Jun 12, 2023
Guneet S. Dhillon, George Deligiannidis, Tom Rainforth

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Trans-Dimensional Generative Modeling via Jump Diffusion Models

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May 25, 2023
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet

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Deep Stochastic Processes via Functional Markov Transition Operators

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May 24, 2023
Jin Xu, Emilien Dupont, Kaspar Märtens, Tom Rainforth, Yee Whye Teh

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Prediction-Oriented Bayesian Active Learning

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Apr 17, 2023
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth

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