Bruno Sudret

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 32

Top Topics

Spectral Embedding

Sensitivity Analysis

Top Venues

Reliab. Eng. Syst. Saf.

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Maliki Moustapha, Pietro Parisi, Stefano Marelli, Bruno Sudret
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis. Reliab. Eng. Syst. Saf. 248 (2024)
Styfen Schär, Stefano Marelli, Bruno Sudret
Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX). CoRR (2023)
Bertrand Iooss, Bruno Sudret, Samuele Lo Piano, Clémentine Prieur
Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety. Reliab. Eng. Syst. Saf. 223 (2022)
M. Moustapha, Bruno Sudret
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling. CoRR (2022)
Nora Lüthen, Stefano Marelli, Bruno Sudret
A spectral surrogate model for stochastic simulators computed from trajectory samples. CoRR (2022)
Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub
Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. SIAM J. Sci. Comput. 44 (3) (2022)
Paul-Remo Wagner, Stefano Marelli, Bruno Sudret
Bayesian model inversion using stochastic spectral embedding. J. Comput. Phys. 436 (2021)
Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. CoRR (2021)
Xujia Zhu, Bruno Sudret
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models. Reliab. Eng. Syst. Saf. 214 (2021)
Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Xujia Zhu, Bruno Sudret
Emulation of Stochastic Simulators Using Generalized Lambda Models. SIAM/ASA J. Uncertain. Quantification 9 (4) (2021)
P.-R. Wagner, Stefano Marelli, I. Papaioannou, D. Straub, Bruno Sudret
Rare event estimation using stochastic spectral embedding. CoRR (2021)
Henrique M. Kroetz, M. Moustapha, André Teófilo Beck, Bruno Sudret
A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems. Reliab. Eng. Syst. Saf. 203 (2020)
Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation. Reliab. Eng. Syst. Saf. 195 (2020)
Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. CoRR (2020)
Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection. CoRR (2020)
Zicheng Liu, Dominique Lesselier, Bruno Sudret, Joe Wiart
Surrogate modeling based on resampled polynomial chaos expansions. Reliab. Eng. Syst. Saf. 202 (2020)
Emiliano Torre, Stefano Marelli, Paul Embrechts, Bruno Sudret
Data-driven polynomial chaos expansion for machine learning regression. J. Comput. Phys. 388 (2019)
Roland Schöbi, Bruno Sudret
Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions. Reliab. Eng. Syst. Saf. 187 (2019)
Emiliano Torre, Stefano Marelli, Paul Embrechts, Bruno Sudret
Data-driven polynomial chaos expansion for machine learning regression. CoRR (2018)
Mohammad Reza Moarefzadeh, Bruno Sudret
Implementation of directional simulation to estimate outcrossing rates in time-variant reliability analysis of structures. Qual. Reliab. Eng. Int. 34 (8) (2018)
C. Lataniotis, Stefano Marelli, Bruno Sudret
Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach. CoRR (2018)
Evgeny Burnaev, Ivan Panin, Bruno Sudret
Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. Ann. Math. Artif. Intell. 81 (1-2) (2017)
Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret, Irena Hajnsek
Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion. Remote. Sens. 9 (5) (2017)
Noura Fajraoui, Stefano Marelli, Bruno Sudret
Sequential Design of Experiment for Sparse Polynomial Chaos Expansions. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Chu V. Mai, Bruno Sudret
Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Roland Schöbi, Bruno Sudret
Uncertainty propagation of p-boxes using sparse polynomial chaos expansions. J. Comput. Phys. 339 (2017)
Katerina Konakli, Bruno Sudret
Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions. J. Comput. Phys. 321 (2016)
G. Deman, Katerina Konakli, Bruno Sudret, J. Kerrou, P. Perrochet, H. Benabderrahmane
Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model. Reliab. Eng. Syst. Saf. 147 (2016)
Katerina Konakli, Bruno Sudret
Global sensitivity analysis using low-rank tensor approximations. Reliab. Eng. Syst. Saf. 156 (2016)
Evgeny Burnaev, Ivan Panin, Bruno Sudret
Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. COPA (2016)
Joseph B. Nagel, Bruno Sudret
Spectral likelihood expansions for Bayesian inference. J. Comput. Phys. 309 (2016)
Bruno Sudret, Chu V. Mai
Computing derivative-based global sensitivity measures using polynomial chaos expansions. Reliab. Eng. Syst. Saf. 134 (2015)
Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret, Irena Hajnsek
Global sensitivity analysis of a morphology based electromagnetic scattering model. IGARSS (2015)
Pierric Kersaudy, Bruno Sudret, Nadège Varsier, Odile Picon, Joe Wiart
A new surrogate modeling technique combining Kriging and polynomial chaos expansions - Application to uncertainty analysis in computational dosimetry. J. Comput. Phys. 286 (2015)
Joseph B. Nagel, Bruno Sudret
Bayesian Multilevel Model Calibration for Inverse Problems Under Uncertainty with Perfect Data. J. Aerosp. Inf. Syst. 12 (1) (2015)
Géraud Blatman, Bruno Sudret
Adaptive sparse polynomial chaos expansion based on least angle regression. J. Comput. Phys. 230 (6) (2011)
Géraud Blatman, Bruno Sudret
Efficient computation of global sensitivity indices using sparse polynomial chaos expansions. Reliab. Eng. Syst. Saf. 95 (11) (2010)
Bruno Sudret
Probabilistic models for the extent of damage in degrading reinforced concrete structures. Reliab. Eng. Syst. Saf. 93 (3) (2008)
Bruno Sudret
Global sensitivity analysis using polynomial chaos expansions. Reliab. Eng. Syst. Saf. 93 (7) (2008)
C. Andrieu-Renaud, Bruno Sudret, Maurice Lemaire
The PHI2 method: a way to compute time-variant reliability. Reliab. Eng. Syst. Saf. 84 (1) (2004)