Papers
Communities
Organizations
Events
Blog
Pricing
Feedback
Contact Sales
Search
Open menu
Home
Papers
All Papers
Title
Home
Papers
1712.10131
Cited By
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
29 December 2017
Paul Diaz
Alireza Doostan
Jerrad Hampton
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design"
13 / 13 papers shown
Title
On Fractional Moment Estimation from Polynomial Chaos Expansion
Lukávs Novák
Marcos Valdebenito
Matthias Faes
81
6
0
04 Mar 2024
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
128
5
0
30 Jan 2024
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion
Lukás Novák
Michael D. Shields
Václav Sadílek
M. Vořechovský
68
9
0
31 Jan 2023
Sensitivity-enhanced generalized polynomial chaos for efficient uncertainty quantification
Kyriakos D. Kantarakias
G. Papadakis
25
9
0
30 Jun 2022
Consistency regularization-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis
Xiaohu Zheng
Wen Yao
Yunyang Zhang
Xiaoya Zhang
85
20
0
29 Mar 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
128
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
142
44
0
09 Mar 2022
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification
Wen Yao
Xiaohu Zheng
Jun Zhang
Ning Wang
Guijian Tang
92
35
0
22 Jul 2021
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification
F. Newberry
Jerrad Hampton
K. Jansen
Alireza Doostan
50
6
0
15 Apr 2021
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications
Nora Lüthen
S. Marelli
Bruno Sudret
153
31
0
10 Sep 2020
Optimal Bayesian experimental design for subsurface flow problems
Alexander Tarakanov
A. Elsheikh
73
10
0
10 Aug 2020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen
S. Marelli
Bruno Sudret
169
171
0
04 Feb 2020
Variance-based sensitivity analysis for time-dependent processes
A. Alexanderian
P. Gremaud
Ralph C. Smith
105
54
0
21 Nov 2017
1