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2010.14689
Cited By
Bayesian Deep Learning via Subnetwork Inference
28 October 2020
Erik A. Daxberger
Eric T. Nalisnick
J. Allingham
Javier Antorán
José Miguel Hernández-Lobato
UQCV
BDL
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Papers citing
"Bayesian Deep Learning via Subnetwork Inference"
25 / 25 papers shown
Title
Streamlining Prediction in Bayesian Deep Learning
Rui Li
Marcus Klasson
Arno Solin
Martin Trapp
UQCV
BDL
97
2
0
27 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning
Eric T. Nalisnick
Christophe Ley
Padhraic Smyth
Thomas Hamelryck
BDL
52
1
0
30 Oct 2024
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti
Stefano Favaro
Stefano Peluchetti
BDL
133
0
0
26 Aug 2024
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
Jiyao Liu
Yuxin Li
Yuxin Li
Lihao Liu
Xin Gao
...
Yanzhou Su
Xuanyang Zhang
Junjun He
Ningsheng Xu
Xiahai Zhuang
MedIm
28
1
0
10 Jul 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
66
1
0
07 Jun 2024
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy
M. Miani
Carl Henrik Ek
Philipp Hennig
Marvin Pfortner
Lukas Tatzel
Søren Hauberg
BDL
47
8
0
05 Jun 2024
Gradients of Functions of Large Matrices
Nicholas Krämer
Pablo Moreno-Muñoz
Hrittik Roy
Søren Hauberg
37
0
0
27 May 2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Siqi Kou
Lei Gan
Dequan Wang
Chongxuan Li
Zhijie Deng
BDL
DiffM
23
7
0
17 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors
Anshuk Uppal
Kristoffer Stensbo-Smidt
Wouter Boomsma
J. Frellsen
BDL
26
1
0
10 Oct 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
18
1
0
11 Aug 2023
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCV
BDL
38
1
0
12 Jul 2023
Probabilistic Circuits That Know What They Don't Know
Fabrizio G. Ventola
Steven Braun
Zhongjie Yu
Martin Mundt
Kristian Kersting
UQCV
TPM
32
7
0
13 Feb 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Mrinank Sharma
Sebastian Farquhar
Eric T. Nalisnick
Tom Rainforth
BDL
23
52
0
11 Nov 2022
On the optimization and pruning for Bayesian deep learning
X. Ke
Yanan Fan
BDL
UQCV
35
1
0
24 Oct 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng
Feng Zhou
Jun Zhu
BDL
47
19
0
23 Oct 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
Sungyub Kim
Si-hun Park
Kyungsu Kim
Eunho Yang
BDL
26
4
0
30 Sep 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Javier Antorán
David Janz
J. Allingham
Erik A. Daxberger
Riccardo Barbano
Eric T. Nalisnick
José Miguel Hernández-Lobato
UQCV
BDL
27
28
0
17 Jun 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
Jiri Hron
Roman Novak
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCV
BDL
45
6
0
15 Jun 2022
Model Architecture Adaption for Bayesian Neural Networks
Duo Wang
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
UQCV
OOD
BDL
18
0
0
09 Feb 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
24
58
0
03 Nov 2021
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin
Alexander Immer
Max Horn
Vincent Fortuin
UQCV
BDL
MedIm
34
9
0
08 Oct 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDL
UQCV
58
289
0
28 Jun 2021
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
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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