Bruno Sudret - RankMe

46 papers C 1Journal 44Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MF-GLaM: A multifidelity stochastic emulator using generalized lambda models. CoRR K. Giannoukou, X. Zhu, Stefano Marelli, Bruno Sudret
2025	J	`jnl`	Surrogate modeling with functional nonlinear autoregressive models (F-NARX). Reliab. Eng. Syst. Saf. Styfen Schär, Stefano Marelli, Bruno Sudret
2025	J	`jnl`	UQ state-dependent framework for seismic fragility assessment of industrial components. Reliab. Eng. Syst. Saf. Chiara Nardin, Stefano Marelli, Oreste S. Bursi, Bruno Sudret, Marco Broccardo
2024	J	`jnl`	A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark. CoRR Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
2024	J	`jnl`	Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions. CoRR Felix Schneider, Iason Papaioannou, Bruno Sudret, Gerhard Müller
2024	J	`jnl`	Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis. Reliab. Eng. Syst. Saf. Maliki Moustapha, Pietro Parisi, Stefano Marelli, Bruno Sudret
2023	J	`jnl`	Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX). CoRR Styfen Schär, Stefano Marelli, Bruno Sudret
2022	J	`jnl`	A spectral surrogate model for stochastic simulators computed from trajectory samples. CoRR Nora Lüthen, Stefano Marelli, Bruno Sudret
2022	J	`jnl`	Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety. Reliab. Eng. Syst. Saf. Bertrand Iooss, Bruno Sudret, Samuele Lo Piano, Clémentine Prieur
2022	J	`jnl`	Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling. CoRR Maliki Moustapha, Bruno Sudret
2022	J	`jnl`	Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. SIAM J. Sci. Comput. Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub
2021	J	`jnl`	Bayesian model inversion using stochastic spectral embedding. J. Comput. Phys. Paul-Remo Wagner, Stefano Marelli, Bruno Sudret
2021	J	`jnl`	Emulation of Stochastic Simulators Using Generalized Lambda Models. SIAM/ASA J. Uncertain. Quantification Xujia Zhu, Bruno Sudret
2021	J	`jnl`	Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models. Reliab. Eng. Syst. Saf. Xujia Zhu, Bruno Sudret
2021	J	`jnl`	Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. CoRR Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret
2021	J	`jnl`	Rare event estimation using stochastic spectral embedding. CoRR P.-R. Wagner, Stefano Marelli, Iason Papaioannou, Daniel Straub, Bruno Sudret
2021	J	`jnl`	Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. SIAM/ASA J. Uncertain. Quantification Nora Lüthen, Stefano Marelli, Bruno Sudret
2020	J	`jnl`	A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems. Reliab. Eng. Syst. Saf. Henrique Machado Kroetz, Maliki Moustapha, André Teófilo Beck, Bruno Sudret
2020	J	`jnl`	Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation. Reliab. Eng. Syst. Saf. Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret
2020	J	`jnl`	Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark. CoRR Nora Lüthen, Stefano Marelli, Bruno Sudret
2020	J	`jnl`	Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection. CoRR Nora Lüthen, Stefano Marelli, Bruno Sudret
2020	J	`jnl`	Surrogate modeling based on resampled polynomial chaos expansions. Reliab. Eng. Syst. Saf. Zicheng Liu, Dominique Lesselier, Bruno Sudret, Joe Wiart
2019	J	`jnl`	Data-driven polynomial chaos expansion for machine learning regression. J. Comput. Phys. Emiliano Torre, Stefano Marelli, Paul Embrechts, Bruno Sudret
2019	J	`jnl`	Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions. Reliab. Eng. Syst. Saf. Roland Schöbi, Bruno Sudret
2018	J	`jnl`	Data-driven polynomial chaos expansion for machine learning regression. CoRR Emiliano Torre, Stefano Marelli, Paul Embrechts, Bruno Sudret
2018	J	`jnl`	Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach. CoRR C. Lataniotis, Stefano Marelli, Bruno Sudret
2018	J	`jnl`	Implementation of directional simulation to estimate outcrossing rates in time-variant reliability analysis of structures. Qual. Reliab. Eng. Int. Mohammad Reza Moarefzadeh, Bruno Sudret
2017	J	`jnl`	Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion. Remote. Sens. Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret, Irena Hajnsek
2017	J	`jnl`	Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. Ann. Math. Artif. Intell. Evgeny Burnaev, Ivan Panin, Bruno Sudret
2017	J	`jnl`	Sequential Design of Experiment for Sparse Polynomial Chaos Expansions. SIAM/ASA J. Uncertain. Quantification Noura Fajraoui, Stefano Marelli, Bruno Sudret
2017	J	`jnl`	Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping. SIAM/ASA J. Uncertain. Quantification Chu V. Mai, Bruno Sudret
2017	J	`jnl`	Uncertainty propagation of p-boxes using sparse polynomial chaos expansions. J. Comput. Phys. Roland Schöbi, Bruno Sudret
2016	—	`conf`	Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. COPA Evgeny Burnaev, Ivan Panin, Bruno Sudret
2016	J	`jnl`	Global sensitivity analysis using low-rank tensor approximations. Reliab. Eng. Syst. Saf. Katerina Konakli, Bruno Sudret
2016	J	`jnl`	Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions. J. Comput. Phys. Katerina Konakli, Bruno Sudret
2016	J	`jnl`	Spectral likelihood expansions for Bayesian inference. J. Comput. Phys. Joseph B. Nagel, Bruno Sudret
2016	J	`jnl`	Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model. Reliab. Eng. Syst. Saf. G. Deman, Katerina Konakli, Bruno Sudret, J. Kerrou, P. Perrochet, H. Benabderrahmane
2015	J	`jnl`	A new surrogate modeling technique combining Kriging and polynomial chaos expansions - Application to uncertainty analysis in computational dosimetry. J. Comput. Phys. Pierric Kersaudy, Bruno Sudret, Nadège Varsier, Odile Picon, Joe Wiart
2015	J	`jnl`	Bayesian Multilevel Model Calibration for Inverse Problems Under Uncertainty with Perfect Data. J. Aerosp. Inf. Syst. Joseph B. Nagel, Bruno Sudret
2015	J	`jnl`	Computing derivative-based global sensitivity measures using polynomial chaos expansions. Reliab. Eng. Syst. Saf. Bruno Sudret, Chu V. Mai
2015	C	`conf`	Global sensitivity analysis of a morphology based electromagnetic scattering model. IGARSS Onur Yuzugullu, Stefano Marelli, Esra Erten, Bruno Sudret, Irena Hajnsek
2011	J	`jnl`	Adaptive sparse polynomial chaos expansion based on least angle regression. J. Comput. Phys. Géraud Blatman, Bruno Sudret
2010	J	`jnl`	Efficient computation of global sensitivity indices using sparse polynomial chaos expansions. Reliab. Eng. Syst. Saf. Géraud Blatman, Bruno Sudret
2008	J	`jnl`	Global sensitivity analysis using polynomial chaos expansions. Reliab. Eng. Syst. Saf. Bruno Sudret
2008	J	`jnl`	Probabilistic models for the extent of damage in degrading reinforced concrete structures. Reliab. Eng. Syst. Saf. Bruno Sudret
2004	J	`jnl`	The PHI2 method: a way to compute time-variant reliability. Reliab. Eng. Syst. Saf. C. Andrieu-Renaud, Bruno Sudret, Maurice Lemaire