1 code implementation • 21 Mar 2024 • Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls
Detecting latent confounders from proxy variables is an essential problem in causal effect estimation.
no code implementations • 4 Mar 2024 • Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls
We introduce a causal regularisation extension to anchor regression (AR) for improved out-of-distribution (OOD) generalisation.
1 code implementation • 11 Aug 2022 • Redouane Lguensat, Julie Deshayes, Homer Durand, V. Balaji
The objective of this study is to evaluate the potential for History Matching (HM) to tune a climate system with multi-scale dynamics.