Michael Griebel

Near-Optimal Learning of Gaussian Sobolev Operators

Ben Adcock, Michael Griebel, Gregor Maier

A key question in operator learning is how to design surrogate operators with provable approximation guarantees in reasonable computational time. Whereas smooth operators can be approximated efficiently, i.e., with at least algebraic convergence in the amount of training data, le…Read more