partial differential equations

Computation-aware Gaussian Process Inference

Probabilistic Numerics for Scientific Machine Learning

Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers

Linear partial differential equations (PDEs) are an important, widely applied class of mechanistic models, describing physical processes such as heat transfer, electromagnetism, and wave propagation. In practice, specialized numerical methods based …