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Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes

Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes

Ali Hebbal
Loïc Brevault
M. Balesdent
El-Ghazali Talbi
N. Melab
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Papers citing "Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes"

5 / 5 papers shown
Title
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Multi-fidelity power flow solver
Multi-fidelity power flow solver
Sam Yang
B. Vaagensmith
Deepika Patra
R. Hruska
T. Phillips
AI4CE
24
3
0
26 May 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Haitao Liu
Kai Wu
Yew-Soon Ong
Chao Bian
Xiaomo Jiang
Xiaofang Wang
19
7
0
25 Feb 2022
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
Somayajulu L. N. Dhulipala
Michael D. Shields
B. Spencer
C. Bolisetti
A. Slaughter
V. Labouré
P. Chakroborty
32
24
0
25 Jun 2021
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012