Publikationen von Christian Reimers

Vitus Benson, Ana Bastos, Christian Reimers, Alexander Winkler, Fanny Yang, and Markus Reichstein, "Atmospheric transport modeling of CO₂ with neural networks," Journal of Advances in Modeling Earth Systems 17 (2), e2024MS004655 (2025).

Guohua Liu, Mirco Migliavacca, Christian Reimers, Basil Kraft, Markus Reichstein, Andrew D. Richardson, Lisa Wingate, Nicolas Delpierre, Hui Yang, and Alexander Winkler, "DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology," Geoscientific Model Development 17 (17), 6683-6701 (2024).

Alexander Winkler, Ranga Myneni, Christian Reimers, Markus Reichstein, and Victor Brovkin, "Carbon system state determines warming potential of emissions," PLOS ONE 19 (8), e0306128 (2024).

Thomas Wutzler, Christian Reimers, Bernhard Ahrens, and Marion Schrumpf, "Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1))," Geoscientific Model Development 17 (7), 2705-2725 (2024).

Christian Reimers, P. Bodesheim, J. Runge, and J. Denzler, "Conditional adversarial debiasing: Towards learning unbiased classifiers from biased data", in Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, (Springer International Publishing, Cham, 2021), Vol. 13024, pp. 48-62.

David Friede, Christian Reimers, Heiner Stuckenschmidt, and Mathias Niepert, "Learning disentangled discrete representations", in Machine learning and knowledge discovery in databases: Research track. ECML PKDD 2023. Lecture Notes in Computer Science, edited by D. Koutra, C. Plant, Rodriguez, M. Gomez, and E. Baralis (Springer, Cham, 2023), Vol. 14172, pp. 593-609.

Christian Reimers, David Hafezi Rachti, Guahua Liu, and Alexander Winkler, "Comparing data-driven and mechanistic models for predicting phenology in deciduous broadleaf forests", in arXiv, (2024).