arXiv stat.ML
· Papers
PIKS: Universal Physics-Informed Kernel Methods
arXiv:2607.27062v1 Announce Type: new Abstract: Physics-informed machine learning incorporates physical principles --often expressed via differential operators-- into data-driven models. While physics-informed neural networks (PINNs) dominate empirical applications, the complexity of neural network architectures and op