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Combined Data and Deep Learning Model Uncertainties: An Application to
  the Measurement of Solid Fuel Regression Rate

Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate

25 October 2022
G. Georgalis
Kolos Retfalvi
P. DesJardin
A. Patra
    UQCV
ArXivPDFHTML

Papers citing "Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate"

2 / 2 papers shown
Title
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
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
285
9,138
0
06 Jun 2015
1