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1802.02643
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Gradient conjugate priors and multi-layer neural networks
7 February 2018
P. Gurevich
Hannes Stuke
BDL
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Papers citing
"Gradient conjugate priors and multi-layer neural networks"
9 / 9 papers shown
Title
Deep Evidential Learning for Bayesian Quantile Regression
F. B. Hüttel
Filipe Rodrigues
Francisco Câmara Pereira
UD
EDL
BDL
UQCV
64
5
0
21 Aug 2023
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
Aik Rui Tan
S. Urata
Samuel Goldman
Johannes C. B. Dietschreit
Rafael Gómez-Bombarelli
BDL
97
46
0
02 May 2023
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics
Masataro Asai
126
0
0
08 Sep 2022
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
288
37
0
20 May 2022
Improving evidential deep learning via multi-task learning
Dongpin Oh
Bonggun Shin
EDL
UQCV
102
24
0
17 Dec 2021
Multivariate Deep Evidential Regression
N. Meinert
Alexander Lavin
BDL
PER
EDL
UQCV
90
21
0
13 Apr 2021
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution
Jielei Chu
Jing Liu
Hongjun Wang
Hua Meng
Zhiguo Gong
Tianrui Li
OOD
68
19
0
13 Mar 2020
Deep Evidential Regression
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDL
PER
BDL
UD
UQCV
129
444
0
07 Oct 2019
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors
P. Gurevich
Hannes Stuke
34
1
0
21 May 2019
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