Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data

Christophe Bonneville, Christopher J. Earls

Scientific machine learning has been successfully applied to inverse problems and PDE discovery in computational physics. One caveat concerning current methods is the need for larg…