Tutorials

Operator learning with Gaussian processes and FNO

See this Github repo and the associated slides. This will guide you through applying FNO and GPs to Burger's equation, and GPs to coefficient to solution problem for an elliptic PDE.

Bayesian optimization for hyper-parameter tuning

A tutorial on how to use Bayesian optimization with Gaussian Process surrogate modeling for tuning hyper-parameters - notebook.

mdarcy@ caltech.edu