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A Compact Representation for Bayesian Neural Networks By Removing
  Permutation Symmetry

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry

31 December 2023
Tim Z. Xiao
Weiyang Liu
Robert Bamler
ArXivPDFHTML

Papers citing "A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry"

3 / 3 papers shown
Title
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
241
313
0
11 Sep 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
268
5,660
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
249
9,134
0
06 Jun 2015
1