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2306.07158
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Riemannian Laplace approximations for Bayesian neural networks
12 June 2023
Federico Bergamin
Pablo Moreno-Muñoz
Søren Hauberg
Georgios Arvanitidis
BDL
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Papers citing
"Riemannian Laplace approximations for Bayesian neural networks"
7 / 7 papers shown
Title
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy
M. Miani
Carl Henrik Ek
Philipp Hennig
Marvin Pfortner
Lukas Tatzel
Søren Hauberg
BDL
42
8
0
05 Jun 2024
The Interpolating Information Criterion for Overparameterized Models
Liam Hodgkinson
Christopher van der Heide
Roberto Salomone
Fred Roosta
Michael W. Mahoney
16
7
0
15 Jul 2023
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi
Runa Eschenhagen
Philipp Hennig
BDL
19
12
0
20 May 2022
Lagrangian Manifold Monte Carlo on Monge Patches
M. Hartmann
Mark Girolami
Arto Klami
16
10
0
01 Feb 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
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
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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