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1909.10296
Cited By
Predicting Landscapes from Environmental Conditions Using Generative Networks
German Conference on Pattern Recognition (DAGM), 2019
23 September 2019
C. Requena-Mesa
Markus Reichstein
Miguel D. Mahecha
B. Kraft
Joachim Denzler
GAN
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Papers citing
"Predicting Landscapes from Environmental Conditions Using Generative Networks"
6 / 6 papers shown
Multi-modal learning for geospatial vegetation forecasting
Computer Vision and Pattern Recognition (CVPR), 2023
V. Benson
Claire Robin
C. Requena-Mesa
Lazaro Alonso
Nuno Carvalhais
José A. Cortés
Zhihan Gao
Nora Linscheid
M. Weynants
Markus Reichstein
351
29
0
28 Mar 2023
AI for Science: An Emerging Agenda
Philipp Berens
Kyle Cranmer
Neil D. Lawrence
U. V. Luxburg
Jessica Montgomery
241
19
0
07 Mar 2023
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics
Environmental Data Science (EDS), 2022
Sebastian Hoffmann
C. Lessig
AI4Cl
256
14
0
02 Feb 2022
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
C. Requena-Mesa
V. Benson
Markus Reichstein
J. Runge
Joachim Denzler
300
66
0
16 Apr 2021
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
C. Requena-Mesa
V. Benson
Joachim Denzler
Jakob Runge
Markus Reichstein
175
3
0
11 Dec 2020
Physics-informed GANs for Coastal Flood Visualization
Björn Lütjens
B. Leshchinskiy
C. Requena-Mesa
F. Chishtie
Natalia Díaz Rodríguez
...
A. Piña
Dava Newman
Alexander Lavin
Y. Gal
Chedy Raïssi
AI4CE
163
16
0
16 Oct 2020
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