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Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for
  Simulated Chemical Reactors

Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors

31 October 2022
Tom Savage
N. Basha
Omar K. Matar
Ehecatl Antonio del Rio Chanona
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors"

2 / 2 papers shown
Multi-Fidelity Methods for Optimization: A Survey
Multi-Fidelity Methods for Optimization: A Survey
Ke Li
Fan Li
AI4CE
338
18
0
15 Feb 2024
Machine Learning-Assisted Discovery of Flow Reactor Designs
Machine Learning-Assisted Discovery of Flow Reactor Designs
Tom Savage
N. Basha
J. McDonough
James Krassowski
Omar K. Matar
Ehecatl Antonio del Rio Chanona
AI4CE
292
49
0
17 Aug 2023
1
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