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Andrew Jesson

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Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific

Nov 01, 2021
Andrew Jesson, Peter Manshausen, Alyson Douglas, Duncan Watson-Parris, Yarin Gal, Philip Stier

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GeneDisco: A Benchmark for Experimental Design in Drug Discovery

Oct 22, 2021
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

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Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

Mar 08, 2021
Andrew Jesson, Sören Mindermann, Yarin Gal, Uri Shalit

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Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression

Feb 22, 2021
Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal

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Identifying Causal Effect Inference Failure with Uncertainty-Aware Models

Jul 01, 2020
Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal

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CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance

Jul 27, 2018
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados

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Adversarially Learned Mixture Model

Jul 14, 2018
Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados

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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Jun 03, 2018
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

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