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Bounding the Rademacher Complexity of Fourier neural operators

Bounding the Rademacher Complexity of Fourier neural operators

12 September 2022
Taeyoung Kim
Myung-joo Kang
    AI4CE
ArXivPDFHTML

Papers citing "Bounding the Rademacher Complexity of Fourier neural operators"

4 / 4 papers shown
Title
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics
Tianyu Jin
G. Maierhofer
Katharina Schratz
Yang Xiang
41
1
0
04 Jul 2024
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
126
202
0
28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations
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
241
2,298
0
18 Oct 2020
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
127
577
0
27 Feb 2015
1