Author

Stefan Sandfeld

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Open access Oct 2026

Inductive bias and out-of-distribution generalization in deep learning surrogates for 2D PDE dynamics

Partial differential equations (PDEs) are a foundational tool for modeling physical systems. However, high-fidelity numerical simulations are often computationally intensive, which has prompted the development of surrogate models in the field of scientific machine learning. While recent approaches have achieved high...

Binh Duong Nguyen, Stefan Sandfeld · Machine Learning: Science an... · 0 citations

Open access Aug 2026

Continual learning for autoregressive PDE surrogates under evolving physical regimes

Deploying machine learning surrogates in scientific simulations faces multifaceted challenges, primary among which is the lack of Continual Learning (CL) capabilities—specifically, the inability to adapt to new physical regimes without significantly degrading performance on prior ones. This is particularly problematic...

Hamed Hemati, Binh Duong Nguyen, Stefan Sandfeld · Machine Learning for Computa... · 0 citations