Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

4 February 2020

Papers citing "Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark"

10 / 10 papers shown

Title
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery T. Tang Simon Mak David B. Dunson 16 4 0 01 Feb 2023
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion Lukás Novák Michael D. Shields Václav Sadílek M. Vořechovský 17 8 0 31 Jan 2023
Sparse Bayesian Learning for Complex-Valued Rational Approximations Felix Schneider I. Papaioannou Gerhard Muller 15 4 0 06 Jun 2022
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations Weiheng Zhong Hadi Meidani DRL 24 36 0 21 Mar 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints Christian Soize 22 5 0 10 Feb 2022
Stochastic polynomial chaos expansions to emulate stochastic simulators X. Zhu Bruno Sudret 21 17 0 07 Feb 2022
Extreme learning machines for variance-based global sensitivity analysis John E. Darges A. Alexanderian P. Gremaud 24 2 0 14 Jan 2022
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions Nora Lüthen O. Roustant Fabrice Gamboa Bertrand Iooss S. Marelli Bruno Sudret 21 5 0 01 Jul 2021
Sequential active learning of low-dimensional model representations for reliability analysis Max Ehre I. Papaioannou Bruno Sudret D. Štraub 19 10 0 08 Jun 2021