3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023
A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation
Yu Duan, Matthew Eaton, Michael Bluck
In this paper, we introduce an efficient sparse Gaussian process (E-SGP) for the surrogate modelling of fluid mechanics. This novel Bayesian machine learning algorithm allows effic…
physics.comp-ph2020★ 3 cited
Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation
Yu Duan, Matthew Eaton, Michael Bluck
This paper proposes a novel fixed inducing points online Bayesian calibration (FIPO-BC) algorithm to efficiently learn the model parameters using a benchmark database. The standard…