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cs.LG2026
Non-Interfering Asymmetric AdamW Updates for Constrained Exploration of Equifinality in Hybrid Models
Ekaterina Gikalo, Zavud Baghirov, Christian Reimers +3
Hybrid models let neural networks supply the unresolved parameters of a process-based simulator, and are fitted to observations that constrain aggregate fluxes and storages but not…
cs.LG2024
Atmospheric Transport Modeling of CO with Neural Networks
Vitus Benson, Ana Bastos, Christian Reimers +3
Accurately describing the distribution of CO in the atmosphere with atmospheric tracer transport models is essential for greenhouse gas monitoring and verification support syst…
cs.LG2024
Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests
Christian Reimers, David Hafezi Rachti, Guahua Liu +1
Understanding the future climate is crucial for informed policy decisions on climate change prevention and mitigation. Earth system models play an important role in predicting futu…