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Tom Rainforth

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Amortized Monte Carlo Integration

Jul 18, 2019
Adam Goliński, Frank Wood, Tom Rainforth

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On the Fairness of Disentangled Representations

May 31, 2019
Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem

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Hijacking Malaria Simulators with Probabilistic Programming

May 29, 2019
Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atılım Güneş Baydin

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Variational Estimators for Bayesian Optimal Experimental Design

Mar 13, 2019
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah Goodman

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LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models

Mar 06, 2019
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood

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Disentangling Disentanglement

Dec 06, 2018
Emile Mathieu, Tom Rainforth, Siddharth Narayanaswamy, Yee Whye Teh

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A Statistical Approach to Assessing Neural Network Robustness

Nov 29, 2018
Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar

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On Exploration, Exploitation and Learning in Adaptive Importance Sampling

Oct 31, 2018
Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh

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Faithful Inversion of Generative Models for Effective Amortized Inference

Oct 24, 2018
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Tom Rainforth, Yee Whye Teh, Frank Wood

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Nesting Probabilistic Programs

Jul 28, 2018
Tom Rainforth

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