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Multi-output Gaussian processes for inverse uncertainty quantification
  in neutron noise analysis
v1v2 (latest)

Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis

Nuclear science and engineering (NSE), 2022
4 November 2022
P. Lartaud
P. Humbert
and Josselin Garnier
ArXiv (abs)PDFHTMLGithub

Papers citing "Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis"

1 / 1 papers shown
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?
Xu Wu
L. Moloko
P. Bokov
Gregory K. Delipei
Joshua Kaizer
K. Ivanov
AI4CE
236
3
0
16 Mar 2025
1
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