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cs.LG2026
Approximate Equivariance via Projection-based Regularisation
Torben Berndt, Jan Stühmer
Equivariance is a powerful inductive bias in neural networks, improving generalisation and physical consistency. Recently, however, non-equivariant models have regained attention,…
cs.LG2024★ 1 cited
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
Moritz Feik, Sebastian Lerch, Jan Stühmer
Ensemble forecasts from numerical weather prediction models show systematic errors that require correction via post-processing. While there has been substantial progress in flexibl…