Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers

23 December 2022

Papers citing "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"

7 / 7 papers shown

Title
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading Qiushuo Hou Sangwoo Park Matteo Zecchin Yunlong Cai G. Yu Osvaldo Simeone 62 0 0 18 Mar 2025
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 55 1 0 07 Jun 2024
Gaussian process learning of nonlinear dynamics Dongwei Ye Mengwu Guo 16 4 0 19 Dec 2023
Images of Gaussian and other stochastic processes under closed, densely-defined, unbounded linear operators T. Matsumoto T. Sullivan 10 3 0 05 May 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 33 21 0 31 Aug 2022
Bayesian Numerical Methods for Nonlinear Partial Differential Equations Junyang Wang Jon Cockayne O. Chkrebtii T. Sullivan Chris J. Oates 43 19 0 22 Apr 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 203 2,281 0 18 Oct 2020