Kernel Methods are Competitive for Operator Learning

Kernel Methods are Competitive for Operator Learning

26 April 2023

Bamdad Hosseini

Papers citing "Kernel Methods are Competitive for Operator Learning"

11 / 11 papers shown

Title
Learning cardiac activation and repolarization times with operator learning Edoardo Centofanti Giovanni Ziarelli N. Parolini Simone Scacchi M. Verani Luca Franco Pavarino AI4CE 31 0 0 13 May 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 48 0 0 02 Mar 2025
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 71 1 0 07 Jun 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$ -algebraic Kernel Machines Yuka Hashimoto Ayoub Hafid Masahiro Ikeda Hachem Kadri 41 1 0 28 May 2024
Ensemble and Mixture-of-Experts DeepONets For Operator Learning Ramansh Sharma Varun Shankar 60 0 0 20 May 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 82 5 0 18 Feb 2024
Gaussian process learning of nonlinear dynamics Dongwei Ye Mengwu Guo 23 4 0 19 Dec 2023
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots Théo Bourdais Pau Batlle Xianjin Yang Ricardo Baptista Nicolas Rouquette H. Owhadi 28 0 0 28 Nov 2023
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs Pau Batlle Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 34 17 0 08 May 2023
Improved architectures and training algorithms for deep operator networks Sizhuang He Hanwen Wang P. Perdikaris AI4CE 52 105 0 04 Oct 2021
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 271 2,315 0 18 Oct 2020