Double machine learning for causal hybrid modeling - applications in the Earth sciences. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (CoRR, 2024)

Large Language Models for Constrained-Based Causal Discovery. - Kai-Hendrik Cohrs; Gherardo Varando; Emiliano Diaz; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 2024)

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. - Gustau Camps-Valls; Miguel-Ángel Fernández-Torres; Kai-Hendrik Cohrs; Adrian Höhl; Andrea Castelletti; Aytac Pacal; Claire Robin; Francesco Martinuzzi; Ioannis Papoutsis; Ioannis Prapas; Jorge Pérez-Aracil; Katja Weigel; et al. (CoRR, 2024)

Causal hybrid modeling with double machine learning - applications in carbon flux modeling. - Kai-Hendrik Cohrs; Gherardo Varando; Nuno Carvalhais; Markus Reichstein; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2024)

Calibration and uncertainty quantification for deep learning-based drought detection. - Mengxue Zhang; Miguel-Ángel Fernández-Torres; Kai-Hendrik Cohrs; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Large language models for causal hypothesis generation in science. - Kai-Hendrik Cohrs; Emiliano Diaz; Vasileios Sitokonstantinou; Gherardo Varando; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2025)