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Approximation of RKHS Functionals by Neural Networks

Approximation of RKHS Functionals by Neural Networks

Tiancong Zhou
Namjoon Suh
Guang Cheng
Xiaoming Huo
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Papers citing "Approximation of RKHS Functionals by Neural Networks"

4 / 4 papers shown
Title
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation
Zihao Chen
Wenyong Wang
Jiachen Yang
Yu Xiang
34
0
0
07 May 2025
Improving Generalization with Flat Hilbert Bayesian Inference
Improving Generalization with Flat Hilbert Bayesian Inference
Tuan Truong
Quyen Tran
Quan Pham-Ngoc
Nhat Ho
Dinh Q. Phung
Trung Le
31
0
0
05 Oct 2024
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
262
2,309
0
18 Oct 2020
A reproducing kernel Hilbert space approach to functional linear regression
A reproducing kernel Hilbert space approach to functional linear regression
M. Yuan
Tommaso Cai
95
278
0
12 Nov 2012