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On the Validity of Bayesian Neural Networks for Uncertainty Estimation

On the Validity of Bayesian Neural Networks for Uncertainty Estimation

3 December 2019
John Mitros
Brian Mac Namee
    UQCV
    BDL
ArXivPDFHTML

Papers citing "On the Validity of Bayesian Neural Networks for Uncertainty Estimation"

5 / 5 papers shown
Title
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
29
267
0
06 Dec 2021
Pathologies in priors and inference for Bayesian transformers
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin
Alexander Immer
Max Horn
Vincent Fortuin
UQCV
BDL
MedIm
39
9
0
08 Oct 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
66
1,112
0
07 Jul 2021
Federated Generalized Bayesian Learning via Distributed Stein
  Variational Gradient Descent
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Rahif Kassab
Osvaldo Simeone
FedML
32
46
0
11 Sep 2020
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
287
9,167
0
06 Jun 2015
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