Assessing out-of-domain generalization for robust building damage detection. - Vitus Benson; Alexander S. Ecker (CoRR, 2020)

EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. - Christian Requena-Mesa; Vitus Benson; Joachim Denzler; Jakob Runge; Markus Reichstein (CoRR, 2020)

EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. - Christian Requena-Mesa; Vitus Benson; Markus Reichstein; Jakob Runge; Joachim Denzler (CVPR Workshops, 2021)

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. - Claire Robin; Christian Requena-Mesa; Vitus Benson; Lázaro Alonso; Jeran Poehls; Nuno Carvalhais; Markus Reichstein (CoRR, 2022)

Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. - Vitus Benson; Christian Requena-Mesa; Claire Robin; Lázaro Alonso; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CoRR, 2023)

Multi-Modal Learning for Geospatial Vegetation Forecasting. - Vitus Benson; Claire Robin; Christian Requena-Mesa; Lázaro Alonso; Nuno Carvalhais; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CVPR, 2024)

DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. - Chaonan Ji; Tonio Fincke; Vitus Benson; Gustau Camps-Valls; Miguel-Ángel Fernández-Torres; Fabian Gans; Guido Kraemer; Francesco Martinuzzi; David Montero 001; Karin Mora; Oscar J. Pellicer-Valero; Claire Robin; et al. (CoRR, 2024)

Atmospheric Transport Modeling of CO2 with Neural Networks. - Vitus Benson; Ana Bastos; Christian Reimers; Alexander J. Winkler; Fanny Yang; Markus Reichstein (CoRR, 2024)