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Monotonic Gaussian process for physics-constrained machine learning with
  materials science applications
v1v2 (latest)

Monotonic Gaussian process for physics-constrained machine learning with materials science applications

31 August 2022
Anh Tran
Kathryn A. Maupin
T. Rodgers
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Monotonic Gaussian process for physics-constrained machine learning with materials science applications"

4 / 4 papers shown
Title
Solving and Learning Nonlinear PDEs with Gaussian Processes
Solving and Learning Nonlinear PDEs with Gaussian Processes
Yifan Chen
Bamdad Hosseini
H. Owhadi
Andrew M. Stuart
69
156
0
24 Mar 2021
A Survey of Constrained Gaussian Process Regression: Approaches and
  Implementation Challenges
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
L. Swiler
Mamikon A. Gulian
A. Frankel
Cosmin Safta
J. Jakeman
GPAI4CE
73
106
0
16 Jun 2020
Monotonic Gaussian Process Flow
Monotonic Gaussian Process Flow
Ivan Ustyuzhaninov
Ieva Kazlauskaite
Carl Henrik Ek
Neill D. F. Campbell
77
14
0
30 May 2019
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
132
1,907
0
10 Jan 2013
1