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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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Publications

926797
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Entropy-based closure for probabilistic learning on manifolds

 Christian Soize , Roger Ghanem , C. Safta , X. Huan , Z.P. P Vane
Journal of Computational Physics, 2019, 388, pp.518-533. ⟨10.1016/j.jcp.2018.12.029⟩
Article dans une revue hal-02100250v1
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Optimal well-placement using probabilistic learning

 Roger Ghanem , Christian Soize , Charanraj Thimmisetty
Data-Enabled Discovery and Applications, 2018, 2 (1), ⟨10.1007/s41688-017-0014-x⟩
Article dans une revue hal-01703255v1
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Physical systems with random uncertainties: Chaos representations with arbitrary probability measure

 Christian Soize , R. Ghanem
SIAM Journal on Scientific Computing, 2004, 26 (2), pp.395-410. ⟨10.1137/S1064827503424505⟩
Article dans une revue hal-00686211v1
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Problème stochastique inverse et représentation sur les chaos pour l'identification expérimentale des champs stochastiques modélisants le comportement des milieux élastiques tridimensionnelles

 Christophe Desceliers , R. Ghanem , Christian Soize
17ème Congrès Français de Mécanique 2005, AFM, Aug 2005, Troyes, France. pp.Pages : 1-6
Communication dans un congrès hal-00773339v1
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Stochastic conditioner for accelerating convergence of Monte Carlo simulations

 Christophe Desceliers , R. Ghanem , Christian Soize
9th ASCE Joint Speciality Conference on Probabilistic Mechanics and Structural Reliability, Sandia National Laboratory, Jul 2004, Albuquerque, New Mexico, United States. pp.1-6
Communication dans un congrès hal-00688127v1