Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes

14 June 2016

Papers citing "Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes"

28 / 28 papers shown

Title
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization Bach Do Nafeezat A. Ajenifuja Taiwo A. Adebiyi Ruda Zhang GP 112 2 0 19 Jul 2025
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes Syrine Belakaria Benjamin Letham J. Doppa Barbara Engelhardt Stefano Ermon E. Bakshy GP 93 1 0 13 Jul 2024
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis Geremy Loachamín Suntaxi Paris Papavasileiou E. D. Koronaki Dimitrios G. Giovanis G. Gakis ... M. Kathrein Gabriele Pozzetti Christoph Czettl Stéphane P. A. Bordas A. Boudouvis 99 0 0 24 May 2024
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty T. Faulwasser O. Molodchyk 186 1 0 12 Dec 2023
Variance-based sensitivity of Bayesian inverse problems to the prior distributionInternational Journal for Uncertainty Quantification (IJUQ), 2023 John E. Darges A. Alexanderian P. Gremaud 82 3 0 27 Oct 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a reviewIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023 Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Wenhan Luo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 203 201 0 18 Mar 2023
Surrogate-based global sensitivity analysis with statistical guarantees via floodgate Massimo Aufiero Lucas Janson AI4CE 102 4 0 11 Aug 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and VibroacousticMechanical systems and signal processing (MSSP), 2022 Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 169 114 0 13 Apr 2022
Extreme learning machines for variance-based global sensitivity analysis John E. Darges A. Alexanderian P. Gremaud 198 4 0 14 Jan 2022
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling Dongwei Ye Pavel S. Zun Valeria Krzhizhanovskaya Alfons G. Hoekstra 198 1 0 11 Nov 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson ProblemInternational Conference on Learning Representations (ICLR), 2021 Benjamin H. Hudson Qingbiao Li Matthew Malencia Amanda Prorok 187 83 0 11 Oct 2021
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions Nora Lüthen O. Roustant Fabrice Gamboa Bertrand Iooss S. Marelli Bruno Sudret 332 6 0 01 Jul 2021
Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indicesReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2021 Guillaume Damblin Alberto Ghione 83 18 0 17 Mar 2021
Estimation of first-order sensitivity indices based on symmetric reflected Vietoris-Rips complexes areas Alberto Hernández Maikol Solís Ronald A. Zúniga-Rojas 57 0 0 09 Dec 2020
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applicationsInternational Journal for Uncertainty Quantification (IJUQ), 2020 Nora Lüthen S. Marelli Bruno Sudret 325 35 0 10 Sep 2020
Stochastic spectral embeddingInternational Journal for Uncertainty Quantification (IJUQ), 2020 S. Marelli Paul Wagner C. Lataniotis Bruno Sudret 158 24 0 09 Apr 2020
RKHSMetaMod: An R package to estimate the Hoeffding decomposition of a complex model by solving RKHS ridge group sparse optimization problemThe R Journal (JR), 2019 Halaleh Kamari S. Huet M. Taupin 233 1 0 31 May 2019
Derivative-based global sensitivity analysis for models with high-dimensional inputs and functional outputsSIAM Journal on Scientific Computing (SISC), 2019 Helen L. Cleaves A. Alexanderian H. Guy Ralph C. Smith Meilin Yu 203 10 0 12 Feb 2019
Optimal Uncertainty Quantification on moment class using canonical moments J. Stenger Fabrice Gamboa Merlin Keller Bertrand Iooss UQCV 99 0 0 30 Nov 2018
Comparison of Gaussian process modeling software Collin B. Erickson Bruce E. Ankenman S. Sanchez GP 177 84 0 09 Oct 2017
The Gaussian process modelling module in UQLab C. Lataniotis S. Marelli Bruno Sudret GP 116 12 0 27 Sep 2017
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation J. Nagel J. Rieckermann Bruno Sudret 183 69 0 11 Sep 2017
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis S. Marelli Bruno Sudret 110 255 0 05 Sep 2017
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications Bertrand Iooss Clémentine Prieur FAtt 349 111 0 05 Jul 2017
Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions R. Schöbi Bruno Sudret 110 64 0 29 May 2017
Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes Bertrand Iooss Loic Le Gratiet 149 27 0 03 Apr 2017
Global sensitivity analysis using low-rank tensor approximations K. Konakli Bruno Sudret 131 82 0 29 May 2016
Efficient computation of Sobol' indices for stochastic models Joseph L. Hart A. Alexanderian P. Gremaud 158 41 0 19 Feb 2016