Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations

22 December 2022

Papers citing "Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations"

3 / 3 papers shown

Title
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations Jialei Chen Zhehui Chen Chuck Zhang C. F. J. Wu 55 15 0 22 Dec 2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges L. Swiler Mamikon A. Gulian A. Frankel Cosmin Safta J. Jakeman GP AI4CE 41 104 0 16 Jun 2020
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems Shiwei Lan T. Bui-Thanh M. Christie Mark Girolami 53 58 0 22 Jul 2015