Kernel methods are competitive for operator learning-Reference-Cited by-同舟云学术

Kernel methods are competitive for operator learning

Published:2024-01 Issue: Volume:496 Page:112549
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Batlle Pau,Darcy Matthieu^ORCID,Hosseini Bamdad,Owhadi Houman

Funder

U.S. Department of Energy

Air Force Office of Scientific Research

Multidisciplinary University Research Initiative

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

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