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Matthias De Lozzo

New improvements in the use of dependence measures for sensitivity analysis and screening
2016 · Matthias De Lozzo, Amandine Marrel · Journal of Statistical Computation and Simulation · 74
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Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators
2016 · Matthias De Lozzo, Amandine Marrel · Stochastic Environmental Research and Risk Assessment · 50
Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows
2017 · Pamphile T. Roy, Nabil El Moçayd, et al. · Stochastic Environmental Research and Risk Assessment · 47
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Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment
2015 · A. Marrel, N. Marie, et al. · Reliability Engineering & System Safety · 29
Multilevel Monte Carlo Covariance Estimation for the Computation of Sobol' Indices
2019 · Paul Mycek, Matthias De Lozzo · SIAM/ASA Journal on Uncertainty Quantification · 27
Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel
2016 · Matthias De Lozzo, Amandine Marrel · SIAM/ASA Journal on Uncertainty Quantification · 27
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding
2021 · Siham El Garroussi, Sophie Ricci, et al. · Stochastic Environmental Research and Risk Assessment · 22
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Sensitivity Analysis of Spatial and/or Temporal Phenomena
2015 · Amandine Marrel, Nathalie Saint-Geours, et al. · Springer eBooks · 22
Sensitivity Analysis of Spatial and/or Temporal Phenomena
2017 · Amandine Marrel, Nathalie Saint-Geours, et al. · Springer eBooks · 11
Multilayer perceptron for the learning of spatio-temporal dynamics—application in thermal engineering
2013 · Matthias De Lozzo, Patricia Klotz, et al. · Engineering Applications of Artificial Intelligence · 11
Quantifying forcing uncertainties in the hydrodynamics of the Gironde estuary
2019 · Vanessya Laborie, Sophie Ricci, et al. · Computational Geosciences · 10
Sensitivity analysis methodology to identify the critical material properties that affect the open hole strength of composites
2023 · Aravind Sasikumar, Albert Turon, et al. · Journal of Composite Materials · 8
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Multilevel Surrogate-based Control Variates
2023 · Amri, Mohamed Reda El, Mycek, Paul, et al. · arXiv (Cornell University) · 7
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Comparing Two Multidisciplinary Optimization Formulations of Trimmed Aircraft Subject to Industry-relevant Loads and Constraints
2021 · Mohammad Abu-Zurayk, Andrei Merle, et al. · AIAA AVIATION Forum · 4
Uncertainty Quantification in a Two-dimensional River Hydraulic Model
2019 · Siham El Garroussi, Matthias De Lozzo, et al. · UNCECOMP Proceedings · 4
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Industrialization of MDO Methods, Software and Processes, From MBSE to High Fidelity Multi-Components Wing, Pylon and Nacelle Optimisation
2024 · Anne Gazaix, Vincent Ambert, et al. · AIAA AVIATION Forum · 3
Uncertainty Quantification for the Gironde Estuary Hydrodynamics with TELEMAC2D
2018 · Vanessya Laborie, Nicole Goutal, et al. · Springer water · 3
Substitution de modèle et approche multifidélité en expérimentation numérique
2015 · Matthias De Lozzo · French digital mathematics library (Numdam) · 2
Learning of Spatio-temporal Dynamics in Thermal Engineering
2012 · Matthias De Lozzo, Patricia Klotz, et al. · Communications in computer and information science · 2
A scalable problem to benchmark robust multidisciplinary design optimization techniques
2023 · Amine Aziz-Alaoui, Olivier Roustant, et al. · Optimization and Engineering · 1
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A Data-driven Scalable MDO Problem To Compare MDO Formulations
2021 · Matthias De Lozzo, Francois Gallard, et al. · AIAA AVIATION Forum · 1
Assessing uncertainties in flood forecasts using a mixture of generalized polynomial chaos expansions
2020 · El Garroussi, Siham, Ricci, Sophie, et al. · Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau) · 1
Modèles de substitution spatio-temporels et multifidélité : Application à l'ingénierie thermique
2013 · Matthias De lozzo · theses.fr (ABES) · 1
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A methodology for creating multidisciplinary design optimization benchmark problems from optimization ones: A methodology for creating multidisciplinary design optimization benchmark problems from optimization ones
2026 · De Lozzo, Matthias, Roustant, Olivier, et al. · HAL
Méthodes pour l'optimisation multidisciplinaire sous incertitudes
2026 · De Lozzo, Matthias, Sapin, Olivier, et al. · HAL
Works count: 40
Citation count: 367
H-index: 10
I10-index: 11
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