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A Kronecker product accelerated efficient sparse Gaussian Process
  (E-SGP) for flow emulation

A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation

13 December 2023
Yu Duan
M. Eaton
Michael Bluck
ArXivPDFHTML

Papers citing "A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation"

3 / 3 papers shown
Title
Data-Centric Engineering: integrating simulation, machine learning and
  statistics. Challenges and Opportunities
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan
L. Mason
Omar K. Matar
AI4CE
36
45
0
07 Nov 2021
Applying Machine Learning to Study Fluid Mechanics
Applying Machine Learning to Study Fluid Mechanics
Steven L. Brunton
PINN
AI4CE
39
95
0
05 Oct 2021
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
68
171
0
08 Jul 2017
1