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The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks

The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks

2 July 2024
Mohammed Fellaji
Frédéric Pennerath
ArXivPDFHTML

Papers citing "The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks"

3 / 3 papers shown
Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
72
0
0
30 Jan 2025
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
5,661
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
9,138
0
06 Jun 2015
1