PDE-DKL: PDE-constrained deep kernel learning in high dimensionality

Weihao Yan, Christoph Brune, Mengwu Guo

Many physics-informed machine learning methods for PDE-based problems rely on Gaussian processes (GPs) or neural networks (NNs). However, both face limitations when data are scarce…