Cumulo: A Dataset for Learning Cloud Classes. - Valentina Zantedeschi; Fabrizio Falasca; Alyson Douglas; Richard Strange; Matt J. Kusner; Duncan Watson-Parris (CoRR, 2019)

Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific. - Andrew Jesson; Peter Manshausen; Alyson Douglas; Duncan Watson-Parris; Yarin Gal; Philip Stier (CoRR, 2021)

Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions. - Andrew Jesson; Alyson Douglas; Peter Manshausen; Maëlys Solal; Nicolai Meinshausen; Philip Stier; Yarin Gal; Uri Shalit (NeurIPS, 2022)

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions. - Andrew Jesson; Alyson Douglas; Peter Manshausen; Nicolai Meinshausen; Philip Stier; Yarin Gal; Uri Shalit (CoRR, 2022)

Using uncertainty-aware machine learning models to study aerosol-cloud interactions. - Maëlys Solal; Andrew Jesson; Yarin Gal; Alyson Douglas (CoRR, 2023)