Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks

10 August 2024

Papers citing "Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks"

6 / 6 papers shown

Title
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 91 1 0 27 Nov 2024
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner Zonghao Chen Yee Whye Teh Y. Gal 62 39 0 28 Dec 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 90 0 07 Oct 2021
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 19 23 0 02 Mar 2020
Understanding symmetries in deep networks Vijay Badrinarayanan Bamdev Mishra R. Cipolla 211 42 0 03 Nov 2015