Operator Learning Using Random Features: A Tool for Scientific Computing

12 August 2024

Papers citing "Operator Learning Using Random Features: A Tool for Scientific Computing"

5 / 5 papers shown

Title
Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations Hermann G. Matthies 42 0 0 17 Feb 2025
Physics-informed kernel learning Nathan Doumèche Francis Bach Gérard Biau Claire Boyer PINN 37 2 0 20 Sep 2024
An operator learning perspective on parameter-to-observable maps Daniel Zhengyu Huang Nicholas H. Nelsen Margaret Trautner 32 11 0 08 Feb 2024
Neural and spectral operator surrogates: unified construction and expression rate bounds L. Herrmann Christoph Schwab Jakob Zech 45 9 0 11 Jul 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 205 2,282 0 18 Oct 2020