Próximos artigos

Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations Lorenc Kapllani, Long Teng, Matthias Rottmann

Lorenc Kapllani
University of Wuppertal

Long Teng
University of Wuppertal

Matthias Rottmann
University of Wuppertal

DOI: 10.1615/Int.J.UncertaintyQuantification.2024053491

Stability and Convergence of Solutions to Stochastic Inverse Problems Using Approximate Probability Densities Troy Butler, Rylan Spence, Timothy Wildey, Tian Yu Yen

Troy Butler
University of Colorado Denver, Department of Mathematical and Statistical Sciences, Denver, Colorado 80204, USA

Rylan Spence
Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712, USA

Timothy Wildey
Computational Mathematics Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185

Tian Yu Yen
Sandia National Laboratories

DOI: 10.1615/Int.J.UncertaintyQuantification.2024054008

Bayesian³ Active learning for regularized arbitrary multi-element polynomial chaos using information theory Ilja Kröker, Tim Brünnette, Nils Wildt, Maria Fernanda Morales Oreamuno, Rebecca Kohlhaas, Sergey Oladyshkin, Wolfgang Nowak

Ilja Kröker
University of Stuttgart

Tim Brünnette
University of Stuttgart

Nils Wildt
University of Stuttgart

Maria Fernanda Morales Oreamuno
University of Stuttgart

Rebecca Kohlhaas
University of Stuttgart

Sergey Oladyshkin
University of Stuttgart

Wolfgang Nowak
Department of Stochastic Simulation and Safety Research for Hydrosystems (IWS/LS3),University of Stuttgart, Pfaffenwaldring 5a, Stuttgart 70569, Germany

DOI: 10.1615/Int.J.UncertaintyQuantification.2024052675

A novel probabilistic transfer learning strategy for polynomial regression Wyatt Bridgman, Uma Balakrishnan, Reese E. Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, Mohammad Khalil

Wyatt Bridgman
Sandia National Laboratories

Uma Balakrishnan
Sandia National Laboratoriess

Reese E. Jones
Sandia National Laboratories, Livermore, California 94551, USA

Jiefu Chen
University of Houston

Xuqing Wu
University of Houston

Cosmin Safta
Sandia National Labs

Yueqin Huang
University of Houston

Mohammad Khalil
Sandia National Labs

DOI: 10.1615/Int.J.UncertaintyQuantification.2024052051

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