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Optimal Training of Mean Variance Estimation Neural Networks

Optimal Training of Mean Variance Estimation Neural Networks

17 February 2023
Laurens Sluijterman
Eric Cator
Tom Heskes
    DRL
ArXivPDFHTML

Papers citing "Optimal Training of Mean Variance Estimation Neural Networks"

5 / 5 papers shown
Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
Jiaxiang Yi
Miguel A. Bessa
UD
PER
UQCV
39
0
0
05 May 2025
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
Sneh Pandya
Yuanyuan Yang
N. V. Alfen
Jonathan Blazek
Robin Walters
21
1
0
07 Apr 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
43
1
0
12 Dec 2023
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
268
5,652
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
247
9,134
0
06 Jun 2015
1