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Uncertainty Quantification in Deep Neural Networks through Statistical
  Inference on Latent Space

Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space

18 May 2023
Luigi Sbailò
L. Ghiringhelli
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space"

2 / 2 papers shown
Title
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
276
5,675
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
9,145
0
06 Jun 2015
1