| Large language models for constrained-based causal discovery KH Cohrs, G Varando, E Diaz, V Sitokonstantinou, G Camps-Valls arXiv preprint arXiv:2406.07378, 2024 | 14 | 2024 |
| Causal hybrid modeling with double machine learning—applications in carbon flux modeling KH Cohrs, G Varando, N Carvalhais, M Reichstein, G Camps-Valls Machine Learning: Science and Technology 5 (3), 035021, 2024 | 2 | 2024 |
| Causal hybrid modeling with double machine learning KH Cohrs, G Varando, N Carvalhais, M Reichstein, G Camps-Valls arXiv preprint arXiv:2402.13332, 2024 | 2 | 2024 |
| Artificial intelligence for modeling and understanding extreme weather and climate events G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... Nature Communications 16 (1), 1919, 2025 | | 2025 |
| Large language models for causal hypothesis generation in science KH Cohrs, E Diaz, V Sitokonstantinou, G Varando, G Camps-Valls Machine Learning: Science and Technology 6 (1), 013001, 2025 | | 2025 |
| AI for Extreme Event Modeling and Understanding: Methodologies and Challenges G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... arXiv preprint arXiv:2406.20080, 2024 | | 2024 |
| Large Language Models for Causal Discovery in the Earth Sciences G Camps-Valls, KH Cohrs, E Diaz, V Sitokonstantinou, G Varando EGU General Assembly Conference Abstracts, 21883, 2024 | | 2024 |
| Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist KH Cohrs, G Varando, R Guimerà, MS Pardo, G Camps-Valls ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Double machine learning for geosciences KH Cohrs, G Varando, M Reichstein, G Camps-Valls EGU General Assembly Conference Abstracts, EGU-13462, 2023 | | 2023 |
| Investigation of Feedback Mechanisms in Visual Cortex using Deep Learning Models KH Cohrs | | 2021 |
| Schranken für Median-Probleme im phylogenetischen Tree-Space KH Cohrs, EPDA Schöbel, ZJPDA Fischer | | 2017 |