2024 ArXiv Atmospheric Transport Modeling of CO2 with Neural Networks Vitus Benson , Ana Bastos , Christian Reimers , Alexander J. Winkler , Fanny Yang , and 1 more author arXiv, Aug 2024 Bib PDF Code @article{benson2024neuraltransport, title = {Atmospheric Transport Modeling of CO2 with Neural Networks}, author = {Benson, Vitus and Bastos, Ana and Reimers, Christian and Winkler, Alexander J. and Yang, Fanny and Reichstein, Markus}, year = {2024}, month = aug, pages = {2408.11032}, journal = {arXiv}, } CVPR Multi-modal Learning for Geospatial Vegetation Forecasting Vitus Benson , Claire Robin , Christian Requena-Mesa , Lazaro Alonso , Nuno Carvalhais , and 5 more authors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024 Bib PDF Code @article{benson2024multimodal, title = {Multi-modal Learning for Geospatial Vegetation Forecasting}, author = {Benson, Vitus and Robin, Claire and Requena-Mesa, Christian and Alonso, Lazaro and Carvalhais, Nuno and Cort\'es, Jos\'e and Gao, Zhihan and Linscheid, Nora and Weynants, M\'elanie and Reichstein, Markus}, year = {2024}, month = jun, pages = {27788-27799}, journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, } GCB Global patterns of tree wood density Hui Yang , Siyuan Wang , Rackhun Son , Hoontaek Lee , Vitus Benson , and 14 more authors Global Change Biology, Mar 2024 Bib PDF Code @article{yang2024wooddensity, author = {Yang, Hui and Wang, Siyuan and Son, Rackhun and Lee, Hoontaek and Benson, Vitus and Zhang, Weijie and Zhang, Yahai and Zhang, Yuzhen and Kattge, Jens and Boenisch, Gerhard and Schepaschenko, Dmitry and Karaszewski, Zbigniew and Stereńczak, Krzysztof and Moreno-Martínez, Álvaro and Nabais, Cristina and Birnbaum, Philippe and Vieilledent, Ghislain and Weber, Ulrich and Carvalhais, Nuno}, title = {Global patterns of tree wood density}, journal = {Global Change Biology}, volume = {30}, number = {3}, pages = {e17224}, year = {2024}, month = mar } ERL Measuring Tropical Rainforest Resilience under Non-Gaussian Disturbances Vitus Benson , Jonathan F. Donges , Niklas Boers , Marina Hirota , Andreas Morr , and 3 more authors Environmental Research Letters, Jan 2024 Bib PDF Code @article{benson.etal_2024, title = {Measuring Tropical Rainforest Resilience under Non-{{Gaussian}} Disturbances}, author = {Benson, Vitus and Donges, Jonathan F. and Boers, Niklas and Hirota, Marina and Morr, Andreas and Staal, Arie and Vollmer, Jürgen and Wunderling, Nico}, year = {2024}, month = jan, journal = {Environmental Research Letters}, volume = {19}, number = {2}, pages = {024029}, publisher = {{IOP Publishing}}, doi = {10.1088/1748-9326/ad1e80}, } 2022 TCCML Learning to Forecast Vegetation Greenness at Fine Resolution over Africa with ConvLSTMs Claire Robin , Christian Requena-Mesa , Vitus Benson , Lazaro Alonso , Jeran Poehls , and 2 more authors NeurIPS Workshop Tackling Climate Change with Machine Learning, Dec 2022 Bib PDF @article{robin.etal_2022, title = {Learning to Forecast Vegetation Greenness at Fine Resolution over {{Africa}} with {{ConvLSTMs}}}, author = {Robin, Claire and Requena-Mesa, Christian and Benson, Vitus and Alonso, Lazaro and Poehls, Jeran and Carvalhais, Nuno and Reichstein, Markus}, year = {2022}, month = dec, journal = {NeurIPS Workshop Tackling {{Climate Change}} with {{Machine Learning}}}, } 2021 EarthVision 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 , and Joachim Denzler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2021 Bib PDF @article{requena-mesa.etal_2021, title = {{{EarthNet2021}}: {{A Large-Scale Dataset}} and {{Challenge}} for {{Earth Surface Forecasting}} as a {{Guided Video Prediction Task}}.}, author = {Requena-Mesa, Christian and Benson, Vitus and Reichstein, Markus and Runge, Jakob and Denzler, Joachim}, year = {2021}, month = jun, pages = {1132--1142}, journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, } 2020 AI+HADR Assessing Out-of-Domain Generalization for Robust Building Damage Detection Vitus Benson , and Alexander Ecker NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR), Dec 2020 Bib PDF Code @article{benson.ecker_2020, title = {Assessing Out-of-Domain Generalization for Robust Building Damage Detection}, author = {Benson, Vitus and Ecker, Alexander}, journal = {NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and {{Disaster Response (AI}}+HADR)}, month = dec, year = {2020}, }