2 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
Into the danger zone: stable extrapolation in high-dimensional function and operator learning
Ben Adcock, Simone Brugiapaglia, Xuemeng Wang
Out-of-distribution (OOD) generalization is a central challenge in scientific machine learning. We study regression problems in which the test distribution differs from the trainin…
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 ap…
Fourier extensions for matrix-function block encodings with error-independent subnormalization bounds
Peter Brearley, Thomas L. Howarth, Ben Adcock
Block encodings of non-unitary matrix functions are central to quantum numerical linear algebra. Hamiltonian simulation is a natural input model for Hermitian matrices, but accurat…