Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations

26 August 2022

Papers citing "Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations"

9 / 9 papers shown

Title
Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations Jianle iHuang Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 65 0 0 25 Nov 2024
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck Arno Solin Theodoros Damoulas 21 0 0 20 Sep 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 45 0 0 17 May 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch Calvin Tsay Robert M. Lee B. Shafei Weronika Ormaniec Andreas Krause Mark van der Wilk Ruth Misener Mojmír Mutný 54 3 0 13 Feb 2024
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 33 0 0 25 Aug 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
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 16 15 0 29 Dec 2022
A Kernel Approach for PDE Discovery and Operator Learning D. Long Nicole Mrvaljević Shandian Zhe Bamdad Hosseini 16 7 0 14 Oct 2022
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 86 271 0 24 Feb 2014