Nathan Doumèche

Physics-informed kernel learning

2024 · arXiv (Cornell University)

Physics-informed machine learning typically integrates physical priors into the learning process by minimizing a loss function that includes both a data-driven term and a partial differential equation (PDE) regularization. Building on the formulation of the …