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Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in
  Bayesian Deep Neural Networks

Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks

19 February 2022
Jurijs Nazarovs
Ronak R. Mehta
Vishnu Suresh Lokhande
Vikas Singh
    UQCV
    BDL
    OOD
ArXivPDFHTML

Papers citing "Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks"

3 / 3 papers shown
Title
Inadequacy of common stochastic neural networks for reliable clinical
  decision support
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer
Malte Blattmann
S. Franke
Thomas Neumuth
Daniel Schneider
BDL
37
1
0
24 Jan 2024
Radial Spike and Slab Bayesian Neural Networks for Sparse Data in
  Ransomware Attacks
Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks
Jurijs Nazarovs
Jack W. Stokes
Melissa J. M. Turcotte
Justin Carroll
Itai Grady
AAML
13
3
0
29 May 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
276
5,683
0
05 Dec 2016
1