Free Online Access
ISSN Print: 2152-5080
|
Current YearVolume 15, 2025 / Issue 3- IN PROGRESS Table of Contents:
LEARNING A CLASS OF STOCHASTIC DIFFERENTIAL EQUATIONS VIA NUMERICS-INFORMED BAYESIAN DENOISING
Zhanpeng Wang, Lijin Wang, Yanzhao Cao
![]()
Zhanpeng Wang ![]()
Lijin Wang ![]()
Yanzhao Cao DOI: 10.1615/Int.J.UncertaintyQuantification.2024052020
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY
Ilja Kröker, Tim Brünnette, Nils Wildt, Maria Fernanda Morales Oreamuno, Rebecca Kohlhaas, Sergey Oladyshkin, Wolfgang Nowak
![]()
Ilja Kröker ![]()
Tim Brünnette ![]()
Nils Wildt ![]()
Maria Fernanda Morales Oreamuno ![]()
Rebecca Kohlhaas ![]()
Sergey Oladyshkin ![]()
Wolfgang Nowak DOI: 10.1615/Int.J.UncertaintyQuantification.2024052675
UNCERTAINTY QUANTIFICATION FOR DEEP LEARNING-BASED SCHEMES FOR SOLVING HIGH-DIMENSIONAL BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS
Lorenc Kapllani, Long Teng, Matthias Rottmann
![]()
Lorenc Kapllani ![]()
Long Teng ![]()
Matthias Rottmann DOI: 10.1615/Int.J.UncertaintyQuantification.2024053491 |
![]() |
Home | Current Year | Archive Files | Authors Instructions | Submission Login | Contact |