Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

29 March 2017

Papers citing "Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations"

8 / 8 papers shown

Title
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 169 0 0 02 Mar 2025
Parametric Gaussian Process Regression for Big Data M. Raissi 81 39 0 11 Apr 2017
Machine Learning of Linear Differential Equations using Gaussian Processes M. Raissi George Karniadakis 83 553 0 10 Jan 2017
Inferring solutions of differential equations using noisy multi-fidelity data M. Raissi P. Perdikaris George Karniadakis AI4CE 59 290 0 16 Jul 2016
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 73 307 0 03 Jun 2015
Probabilistic ODE Solvers with Runge-Kutta Means Michael Schober David Duvenaud Philipp Hennig 79 116 0 10 Jun 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 107 1,235 0 26 Sep 2013
Brittleness of Bayesian Inference Under Finite Information in a Continuous World H. Owhadi C. Scovel T. Sullivan 102 58 0 24 Apr 2013