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n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive
  Uncertainty and True Error

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error

20 August 2019
Michel Moukari
Loïc Simon
Sylvaine Picard
F. Jurie
    UQCV
ArXivPDFHTML

Papers citing "n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error"

3 / 3 papers shown
Title
Scalable Uncertainty Quantification for Deep Operator Networks using
  Randomized Priors
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors
Yibo Yang
Georgios Kissas
P. Perdikaris
BDL
UQCV
22
40
0
06 Mar 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
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
9,136
0
06 Jun 2015
1