Christian Requena-Mesa

Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks

Markus Reichstein, Basil Kraft, Martin Jung, 2019, Front. Big Data.

Predicting Landscapes from Environmental Conditions Using Generative Networks pdf

Joachim Denzler, Basil Kraft, Christian Requena-Mesa, 2019, GCPR.

Predicting Landscapes as Seen from Space from Environmental Conditions

Joachim Denzler, Markus Reichstein, Basil Kraft, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics

Christian Requena-Mesa, Christian Reimers, C. Requena-Mesa, 2020 .

EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts pdf

Christian Requena-Mesa, Joachim Denzler, Jakob Runge, 2020, ArXiv.

Physics-informed GANs for Coastal Flood Visualization pdf

Chedy Raïssi, Farrukh Chishtie, Christian Requena-Mesa, 2020, ArXiv.

SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data

Joachim Denzler, Christian Requena-Mesa, Veronika Eyring, 2018 .

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization pdf

Chedy Raïssi, Christian Requena-Mesa, Yarin Gal, 2021, ArXiv.

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

Markus Reichstein, Christian Requena-Mesa, Jakob Runge, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).