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07/18/2023
Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models
Complex computer codes or models can often be run in a hierarchy of diff...
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03/14/2023
Topology optimization of flexoelectric metamaterials with apparent piezoelectricity
The flexoelectric effect, coupling polarization and strain gradient as w...
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06/24/2022
Sequential adaptive design for emulating costly computer codes
Gaussian processes (GPs) are generally regarded as the gold standard sur...
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06/22/2022
Variance-based global sensitivity analysis of numerical models using R
Sensitivity analysis plays an important role in the development of compu...
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04/15/2021
Emulating computationally expensive dynamical simulators using Gaussian processes
A Gaussian process (GP)-based methodology is proposed to emulate computa...
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05/04/2020
Cross-validation based adaptive sampling for Gaussian process models
In many real-world applications, we are interested in approximating blac...
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03/05/2019
Emulating computer models with step-discontinuous outputs using Gaussian processes
In many real-world applications, we are interested in approximating func...
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02/21/2018
Emulating dynamic non-linear simulators using Gaussian processes
In this paper, we examine the emulation of non-linear deterministic comp...
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03/08/2016
Small ensembles of kriging models for optimization
The Efficient Global Optimization (EGO) algorithm uses a conditional Gau...
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02/02/2016
