Sequential active learning of low-dimensional model representations for
reliability analysis

v1v2 (latest)

Sequential active learning of low-dimensional model representations for reliability analysis

8 June 2021

ArXiv (abs)PDF HTML

Papers citing "Sequential active learning of low-dimensional model representations for reliability analysis"

9 / 9 papers shown

Title
Cross-entropy-based importance sampling with failure-informed dimension reduction for rare event simulation Felipe Uribe I. Papaioannou Youssef M. Marzouk D. Štraub 46 40 0 09 Jun 2020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark Nora Lüthen S. Marelli Bruno Sudret 78 156 0 04 Feb 2020
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines Panagiotis Tsilifis I. Papaioannou D. Štraub F. Nobile 119 18 0 23 Dec 2019
Multilevel Sequential Importance Sampling for Rare Event Estimation Fabian Wagner J. Latz I. Papaioannou E. Ullmann 60 21 0 17 Sep 2019
Compressive sensing adaptation for polynomial chaos expansions Panagiotis Tsilifis Xun Huan Cosmin Safta K. Sargsyan G. Lacaze J. Oefelein H. Najm R. Ghanem 82 58 0 06 Jan 2018
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis S. Marelli Bruno Sudret 34 228 0 05 Sep 2017
Reliability analysis of high-dimensional models using low-rank tensor approximations K. Konakli Bruno Sudret 51 47 0 28 Jun 2016
Bayesian subset simulation Julien Bect Ling Li E. Vázquez 67 68 0 11 Jan 2016
Metamodel-based importance sampling for structural reliability analysis V. Dubourg Francois Deheeger Bruno Sudret 67 490 0 03 May 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.