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Christian Soize

Professor Emeritus, Université Gustave Eiffel, MSME UMR 8208
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Présentation

. Statistical Learning, Probabilistic Learning, Machine Learning, and Nonconvex Optimization Problem. . Uncertainty Quantification, stochastic modeling of uncertainties in computational sciences and engineering, their propagation and their quantification solving stochastic inverse problems. . Stochastic multi-scale modeling and application to microstructures of heterogeneous materials. . Computational science, computational mechanics, linear and nonlinear structural dynamics, structural acoustics, vibroacoustics, and coupled systems. . Computational stochastic dynamics for linear and nonlinear dynamical systems.

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Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models

 Maarten Arnst , Christian Soize
Computer Methods in Applied Mechanics and Engineering, 2019, 352, pp.300-323. ⟨10.1016/j.cma.2019.04.025⟩
Article dans une revue hal-02146333v1
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Hybrid sampling/spectral method for solving stochastic coupled problems

 Maarten Arnst , Christian Soize , Roger Ghanem
SIAM/ASA Journal on Uncertainty Quantification, 2013, 1 (1), pp.218-243. ⟨10.1137/120894403⟩
Article dans une revue hal-00829060v1

Bayesian inversion of symmetric positive definite matrices of reduced-order models with application to updating nonparametric probabilistic models in structural dynamics

 Maarten Arnst , Christian Soize
UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2019, Island of Crete, Greece
Communication dans un congrès hal-02175540v1

Updating nonparametric probabilistic models in structural dynamics by Bayesian statistical inversion of symmetric positive definite matrices in high dimension

 Maarten Arnst , Christian Soize
The 13th World Congress of Computational Mechanics (WCCM 2018) and Second Pan American Congress on Computational Mechanics (PANACM II), Jul 2018, New York, United States
Communication dans un congrès hal-01876230v1