A Survey of Constrained Gaussian Process Regression: Approaches and
Implementation Challenges

A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges

16 June 2020

Mamikon A. Gulian

Papers citing "A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges"

15 / 15 papers shown

Title
A spectrum of physics-informed Gaussian processes for regression in engineering E. Cross T. Rogers D. J. Pitchforth S. Gibson Matthew R. Jones 29 8 0 19 Sep 2023
Index-aware learning of circuits I. C. Garcia Peter Förster Lennart Jansen W. Schilders Sebastian Schöps 11 0 0 02 Sep 2023
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs Pau Batlle Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 39 17 0 08 May 2023
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations Zhao-Xia Li Shih-Feng Yang Jeff Wu 24 2 0 22 Dec 2022
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature J. H. Mclean Matthew R. Jones Brandon J. O'Connell Eoghan Maguire T. Rogers 27 6 0 30 Sep 2022
A connection between probability, physics and neural networks Sascha Ranftl PINN 22 9 0 26 Sep 2022
Monotonic Gaussian process for physics-constrained machine learning with materials science applications Anh Tran Kathryn A. Maupin T. Rodgers PINN AI4CE 31 6 0 31 Aug 2022
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects Megan R. Ebers K. Steele J. Nathan Kutz 42 15 0 10 Mar 2022
Incorporating Sum Constraints into Multitask Gaussian Processes Philipp Pilar Carl Jidling Thomas B. Schon Niklas Wahlström TPM 24 3 0 03 Feb 2022
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information J. Nicholson P. Kiessler D. Brown GP 16 3 0 26 Jan 2022
Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation Iain Henderson P. Noble O. Roustant 23 1 0 23 Nov 2021
Hierarchical Non-Stationary Temporal Gaussian Processes With $L^1$ -Regularization Zheng Zhao Rui Gao Simo Särkkä 25 0 0 20 May 2021
Posterior contraction for deep Gaussian process priors G. Finocchio Johannes Schmidt-Hieber 42 11 0 16 May 2021
Solving and Learning Nonlinear PDEs with Gaussian Processes Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 40 153 0 24 Mar 2021
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 129 392 0 02 Mar 2013