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A Priori Uncertainty Quantification of Reacting Turbulence Closure
  Models using Bayesian Neural Networks

A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks

28 February 2024
Graham Pash
M. Hassanaly
S. Yellapantula
    AI4CE
ArXivPDFHTML

Papers citing "A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks"

2 / 2 papers shown
Title
Active Learning and Bayesian Optimization: a Unified Perspective to
  Learn with a Goal
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal
Francesco Di Fiore
Michela Nardelli
L. Mainini
23
22
0
02 Mar 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1