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All You Need is a Good Functional Prior for Bayesian Deep Learning

All You Need is a Good Functional Prior for Bayesian Deep Learning

25 November 2020
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Maurizio Filippone
    OOD
    BDL
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Papers citing "All You Need is a Good Functional Prior for Bayesian Deep Learning"

6 / 6 papers shown
Title
Streamlining Prediction in Bayesian Deep Learning
Streamlining Prediction in Bayesian Deep Learning
Rui Li
Marcus Klasson
Arno Solin
Martin Trapp
UQCV
BDL
91
1
0
27 Nov 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
63
6
0
23 May 2024
Spatial Bayesian Neural Networks
Spatial Bayesian Neural Networks
A. Zammit‐Mangion
Michael D. Kaminski
Ba-Hien Tran
Maurizio Filippone
Noel Cressie
BDL
10
7
0
16 Nov 2023
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
22
124
0
14 May 2021
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
9,109
0
06 Jun 2015
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