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Uncertainty Quantification of Deep Learning for Spatiotemporal Data:
  Challenges and Opportunities

Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities

4 November 2023
Wenchong He
Zhe Jiang
ArXivPDFHTML

Papers citing "Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities"

3 / 3 papers shown
Title
UQGAN: A Unified Model for Uncertainty Quantification of Deep
  Classifiers trained via Conditional GANs
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek
G. Fink
Matthias Rottmann
OODD
37
14
0
31 Jan 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1