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

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

8 June 2021

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

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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 36 228 0 05 Sep 2017
Reliability analysis of high-dimensional models using low-rank tensor approximations K. Konakli Bruno Sudret 53 47 0 28 Jun 2016
Bayesian subset simulation Julien Bect Ling Li E. Vázquez 69 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