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A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

International Conference on Learning Representations (ICLR), 2023
12 October 2023
Olivier Laurent
Emanuel Aldea
Gianni Franchi
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors"

6 / 6 papers shown
Title
Constructive Disintegration and Conditional Modes
Constructive Disintegration and Conditional Modes
Nathael Da Costa
Marvin Pfortner
Jon Cockayne
90
0
0
01 Aug 2025
Symmetry in Neural Network Parameter Spaces
Symmetry in Neural Network Parameter Spaces
Bo Zhao
Robin Walters
Rose Yu
317
6
0
16 Jun 2025
Variational Inference Failures Under Model Symmetries: Permutation
  Invariant Posteriors for Bayesian Neural Networks
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
293
6
0
10 Aug 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
444
14
0
30 May 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
181
15
0
23 Dec 2023
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty
  Estimation
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Maksim Zhdanov
Stanislav Dereka
Sergey Kolesnikov
74
0
0
16 Dec 2023
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