Compressive sensing adaptation for polynomial chaos expansions

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Compressive sensing adaptation for polynomial chaos expansions

6 January 2018

Panagiotis Tsilifis

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Papers citing "Compressive sensing adaptation for polynomial chaos expansions"

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Title
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification Dimitris G. Giovanis Dimitrios Loukrezis Ioannis G. Kevrekidis Michael D. Shields 132 5 0 30 Jan 2024
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 154 96 0 07 May 2023
Sparse Bayesian Learning for Complex-Valued Rational Approximations Felix Schneider I. Papaioannou Gerhard Muller 78 4 0 06 Jun 2022
On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples Ben Adcock Simone Brugiapaglia N. Dexter S. Moraga 132 11 0 25 Mar 2022
On the influence of over-parameterization in manifold based surrogates and deep neural operators Katiana Kontolati S. Goswami Michael D. Shields George Karniadakis 150 44 0 09 Mar 2022
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems Katiana Kontolati Dimitrios Loukrezis D. D. Giovanis Lohit Vandanapu Michael D. Shields 146 47 0 09 Feb 2022
Sequential active learning of low-dimensional model representations for reliability analysis Max Ehre I. Papaioannou Bruno Sudret D. Štraub 75 13 0 08 Jun 2021
A general framework of rotational sparse approximation in uncertainty quantification Mengqi Hu Y. Lou Xiu Yang 69 0 0 13 Jan 2021
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes Panagiotis Tsilifis Piyush Pandita Sayan Ghosh Valeria Andreoli T. Vandeputte Liping Wang 75 19 0 05 Aug 2020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark Nora Lüthen S. Marelli Bruno Sudret 169 171 0 04 Feb 2020
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines Panagiotis Tsilifis I. Papaioannou D. Štraub F. Nobile 156 20 0 23 Dec 2019
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach C. Lataniotis S. Marelli Bruno Sudret 102 69 0 15 Dec 2018