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Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural
  Networks

Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks

10 December 2017
Stefan Depeweg
José Miguel Hernández-Lobato
Steffen Udluft
Thomas Runkler
    PER
    UD
ArXivPDFHTML

Papers citing "Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks"

4 / 4 papers shown
Title
Combining data assimilation and machine learning to estimate parameters
  of a convective-scale model
Combining data assimilation and machine learning to estimate parameters of a convective-scale model
Stefanie Legler
T. Janjić
33
18
0
07 Sep 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
61
1,111
0
07 Jul 2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán
Umang Bhatt
T. Adel
Adrian Weller
José Miguel Hernández-Lobato
UQCV
BDL
45
112
0
11 Jun 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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