Kai-Hendrik Cohrs

According to our database, Kai-Hendrik Cohrs authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams

CoRR, 2024

Large Language Models for Constrained-Based Causal Discovery.

Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls

CoRR, 2024

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