NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. - Paula Harder; William K. Jones; Redouane Lguensat; Shahine Bouabid; James Fulton; Dánell Quesada-Chacón; Aris Marcolongo; Sofija Stefanovic; Yuhan Rao; Peter Manshausen; Duncan Watson-Parris (CoRR, 2020)

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)

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales. - Peter Manshausen; Yair Cohen; Jaideep Pathak; Mike Pritchard; Piyush Garg; Morteza Mardani; Karthik Kashinath; Simon Byrne; Noah D. Brenowitz (CoRR, 2024)