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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

Conference on Uncertainty in Artificial Intelligence (UAI), 2021

19 February 2022

Jurijs Nazarovs

Vishnu Suresh Lokhande

ArXiv (abs)PDF HTML Github

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

2 / 2 papers shown

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

Daniel Schneider

371

3

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

Melissa J. M. Turcotte

188

3

0

29 May 2022

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