The PHI2 method: a way to compute time-variant reliability. - C. Andrieu-Renaud; Bruno Sudret; Maurice Lemaire (Reliab. Eng. Syst. Saf., 2004)

Probabilistic models for the extent of damage in degrading reinforced concrete structures. - Bruno Sudret (Reliab. Eng. Syst. Saf., 2008)

Global sensitivity analysis using polynomial chaos expansions. - Bruno Sudret (Reliab. Eng. Syst. Saf., 2008)

Efficient computation of global sensitivity indices using sparse polynomial chaos expansions. - Géraud Blatman; Bruno Sudret (Reliab. Eng. Syst. Saf., 2010)

Adaptive sparse polynomial chaos expansion based on least angle regression. - Géraud Blatman; Bruno Sudret (J. Comput. Phys., 2011)

Global sensitivity analysis of a morphology based electromagnetic scattering model. - Onur Yuzugullu; Stefano Marelli; Esra Erten; Bruno Sudret; Irena Hajnsek (IGARSS, 2015)

Bayesian Multilevel Model Calibration for Inverse Problems Under Uncertainty with Perfect Data. - Joseph B. Nagel; Bruno Sudret (J. Aerosp. Inf. Syst., 2015)

A new surrogate modeling technique combining Kriging and polynomial chaos expansions - Application to uncertainty analysis in computational dosimetry. - Pierric Kersaudy; Bruno Sudret; Nadège Varsier; Odile Picon; Joe Wiart (J. Comput. Phys., 2015)

Computing derivative-based global sensitivity measures using polynomial chaos expansions. - Bruno Sudret; Chu V. Mai (Reliab. Eng. Syst. Saf., 2015)

Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. - Evgeny Burnaev; Ivan Panin; Bruno Sudret (COPA, 2016)

Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions. - Katerina Konakli; Bruno Sudret (J. Comput. Phys., 2016)

Spectral likelihood expansions for Bayesian inference. - Joseph B. Nagel; Bruno Sudret (J. Comput. Phys., 2016)

Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model. - G. Deman; Katerina Konakli; Bruno Sudret; J. Kerrou; P. Perrochet; H. Benabderrahmane (Reliab. Eng. Syst. Saf., 2016)

Global sensitivity analysis using low-rank tensor approximations. - Katerina Konakli; Bruno Sudret (Reliab. Eng. Syst. Saf., 2016)

Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. - Evgeny Burnaev; Ivan Panin; Bruno Sudret (Ann. Math. Artif. Intell., 2017)

Uncertainty propagation of p-boxes using sparse polynomial chaos expansions. - Roland Schöbi; Bruno Sudret (J. Comput. Phys., 2017)

Sequential Design of Experiment for Sparse Polynomial Chaos Expansions. - Noura Fajraoui; Stefano Marelli; Bruno Sudret (SIAM/ASA J. Uncertain. Quantification, 2017)

Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping. - Chu V. Mai; Bruno Sudret (SIAM/ASA J. Uncertain. Quantification, 2017)

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion. - Onur Yuzugullu; Stefano Marelli; Esra Erten; Bruno Sudret; Irena Hajnsek (Remote. Sens., 2017)

Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach. - C. Lataniotis; Stefano Marelli; Bruno Sudret (CoRR, 2018)

Implementation of directional simulation to estimate outcrossing rates in time-variant reliability analysis of structures. - Mohammad Reza Moarefzadeh; Bruno Sudret (Qual. Reliab. Eng. Int., 2018)

Data-driven polynomial chaos expansion for machine learning regression. - Emiliano Torre; Stefano Marelli; Paul Embrechts; Bruno Sudret (J. Comput. Phys., 2019)

Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions. - Roland Schöbi; Bruno Sudret (Reliab. Eng. Syst. Saf., 2019)

Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection. - Nora Lüthen; Stefano Marelli; Bruno Sudret (CoRR, 2020)

A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems. - Henrique Machado Kroetz; Maliki Moustapha; André Teófilo Beck; Bruno Sudret (Reliab. Eng. Syst. Saf., 2020)

Surrogate modeling based on resampled polynomial chaos expansions. - Zicheng Liu 002; Dominique Lesselier; Bruno Sudret; Joe Wiart (Reliab. Eng. Syst. Saf., 2020)

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation. - Joseph B. Nagel; Jörg Rieckermann; Bruno Sudret (Reliab. Eng. Syst. Saf., 2020)

Rare event estimation using stochastic spectral embedding. - P.-R. Wagner; Stefano Marelli; Iason Papaioannou; Daniel Straub; Bruno Sudret (CoRR, 2021)

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. - Nora Lüthen; Olivier Roustant; Fabrice Gamboa; Bertrand Iooss; Stefano Marelli; Bruno Sudret (CoRR, 2021)

Bayesian model inversion using stochastic spectral embedding. - Paul-Remo Wagner; Stefano Marelli; Bruno Sudret (J. Comput. Phys., 2021)

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. - Nora Lüthen; Stefano Marelli; Bruno Sudret (SIAM/ASA J. Uncertain. Quantification, 2021)

Emulation of Stochastic Simulators Using Generalized Lambda Models. - Xujia Zhu; Bruno Sudret (SIAM/ASA J. Uncertain. Quantification, 2021)

Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models. - Xujia Zhu; Bruno Sudret (Reliab. Eng. Syst. Saf., 2021)

A spectral surrogate model for stochastic simulators computed from trajectory samples. - Nora Lüthen; Stefano Marelli; Bruno Sudret (CoRR, 2022)

Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling. - Maliki Moustapha; Bruno Sudret (CoRR, 2022)

Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety. - Bertrand Iooss; Bruno Sudret; Samuele Lo Piano; Clémentine Prieur (Reliab. Eng. Syst. Saf., 2022)

Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. - Max Ehre; Iason Papaioannou; Bruno Sudret; Daniel Straub (SIAM J. Sci. Comput., 2022)

Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX). - Styfen Schär; Stefano Marelli; Bruno Sudret (CoRR, 2023)

Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions. - Felix Schneider; Iason Papaioannou; Bruno Sudret; Gerhard Müller (CoRR, 2024)

A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark. - Lucas Brunel; Mathieu Balesdent; Loïc Brevault; Rodolphe Le Riche; Bruno Sudret (CoRR, 2024)

Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis. - Maliki Moustapha; Pietro Parisi; Stefano Marelli; Bruno Sudret (Reliab. Eng. Syst. Saf., 2024)

UQ state-dependent framework for seismic fragility assessment of industrial components. - Chiara Nardin; Stefano Marelli; Oreste S. Bursi; Bruno Sudret; Marco Broccardo (Reliab. Eng. Syst. Saf., 2025)

Surrogate modeling with functional nonlinear autoregressive models (F-NARX). - Styfen Schär; Stefano Marelli; Bruno Sudret (Reliab. Eng. Syst. Saf., 2025)

MF-GLaM: A multifidelity stochastic emulator using generalized lambda models. - K. Giannoukou; X. Zhu; Stefano Marelli; Bruno Sudret (CoRR, 2025)