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A Framework for Variational Inference of Lightweight Bayesian Neural
  Networks with Heteroscedastic Uncertainties

A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties

22 February 2024
D. Schodt
Ryan Brown
Michael Merritt
Samuel Park
Delsin Menolascino
M. Peot
    BDL
    UQCV
    UD
ArXivPDFHTML

Papers citing "A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties"

2 / 2 papers shown
Title
Few-sample Variational Inference of Bayesian Neural Networks with
  Arbitrary Nonlinearities
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities
D. Schodt
31
0
0
03 May 2024
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
279
9,136
0
06 Jun 2015
1