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2310.03393
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Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations
5 October 2023
Lorenc Kapllani
Long Teng
Matthias Rottmann
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ArXiv
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Papers citing
"Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations"
4 / 4 papers shown
Title
A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
Lorenc Kapllani
Long Teng
31
2
0
12 Apr 2024
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek
G. Fink
Matthias Rottmann
OODD
40
14
0
31 Jan 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1