Posterior Concentration of Bayesian Physics-Informed Neural Networks for Elliptic PDEs
arXiv:2605.08672v1 Announce Type: cross
Abstract: We study the posterior contraction rate of Bayesian Physics-Informed Neural Networks (PINNs) for solving a general class of elliptic partial differential equations (PDEs). We focus on learning of the e…