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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.

Domaines de recherche


Compétences

Publications

"guillaume-perrin"
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Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework

Guillaume Perrin , Christian Soize
Computational Statistics, 2020, 35, pp.111-133. ⟨10.1007/s00180-019-00936-5⟩
Article dans une revue hal-02373628v1
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Statistical inverse identification for nonlinear train dynamics using a surrogate model in a Bayesian framework

David Lebel , Christian Soize , Christine Fünfschilling , Guillaume Perrin
Journal of Sound and Vibration, 2019, 458, pp.158-176. ⟨10.1016/j.jsv.2019.06.024⟩
Article dans une revue hal-02175507v1
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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints

Guillaume Perrin , Christian Soize , N. Ouhbi
Computational Statistics and Data Analysis, 2018, 119, pp.139-154. ⟨10.1016/j.csda.2017.10.005⟩
Article dans une revue hal-01634877v1
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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints

Guillaume Perrin , Christian Soize , N. Ouhbi
Computational Statistics and Data Analysis, 2018, 119, pp.139-154. ⟨10.1016/j.csda.2017.10.005⟩
Article dans une revue hal-01794809v1
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Nested polynomial trends for the improvement of Gaussian process-based predictors

Guillaume Perrin , Christian Soize , Sophie Marque-Pucheu , Josselin Garnier
Journal of Computational Physics, 2017, 346, pp.389 - 402. ⟨10.1016/j.jcp.2017.05.051⟩
Article dans une revue hal-01562655v1
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Karhunen-Loeve expansion revisited for vector-valued random fields: scaling, errors and optimal basis

Guillaume Perrin , Christian Soize , Denis Duhamel , Christine Fünfschilling
Journal of Computational Physics, 2013, 242 (1), pp.607-622. ⟨10.1016/j.jcp.2013.02.036⟩
Article dans une revue hal-00805616v1
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Track irregularities stochastic modeling

Guillaume Perrin , Christian Soize , Denis Duhamel , Christine Fünfschilling
Probabilistic Engineering Mechanics, 2013, 34 (-), pp.123-130. ⟨10.1016/j.probengmech.2013.08.006⟩
Article dans une revue hal-00850645v1
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Identification of polynomial chaos representations in high dimension from a set of realizations

Guillaume Perrin , Christian Soize , Denis Duhamel , Christine Fünfschilling
SIAM Journal on Scientific Computing, 2012, 34 (6), pp.A2917-A2945. ⟨10.1137/11084950X⟩
Article dans une revue hal-00770006v1

Optimisation de la vitesse de trains sous contraintes de confort et de ponctualité, en présence d’incertitudes

Julien Nespoulous , Christine Fünfschilling , Guillaume Perrin , Christian Soize
54 èmes Journées de Statistique de la SFdS (JDS 2023), Université Libre de Bruxelles, Jul 2023, Bruxelles, Belgique
Communication dans un congrès hal-04146600v1

Real-time optimization of speed control to limit train energy consumption

Romain Jorge do Marco , Guillaume Perrin , Christine Fünfschilling , Christian Soize
MASCOT-NUM 2023, Apr 2023, Le Croisic, France
Communication dans un congrès hal-04081892v1

Uncertainty quantification for high-speed train dynamics modeling and optimization under uncertainties to limit energy consumption

Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
The 15th World Congress of Computational Mechanics (WCCM 2022), Jul 2022, Yokohama, Japan
Communication dans un congrès hal-03749644v1
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Bayesian inference for high-speed train dynamics and speed optimization under uncertainty for energy saving

Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
The 30th edition of the biennial ISMA conference on Noise and Vibration Engineering (ISMA 2022) and The 9th International Conference on Uncertainty in Structural Dynamics, USD 2022, KU Leuven, Sep 2022, Leuven, Belgium. pp.1-6
Communication dans un congrès hal-03799277v1

Robust adaptation of the train speed for energy saving under punctaulity and security constraints

Julien Nespoulous , Christian Soize , Christine Fünfschilling , Guillaume Perrin
MASCOT-NUM 2022, Jun 2022, Clermont Ferrand, France
Communication dans un congrès hal-03749632v1
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Driver’s control optimization under uncertainties to reduce energy consumption of high-speed trains

Julien Nespoulous , Christian Soize , Christine Funfschilling , Guillaume Perrin
The fifth international conference of railway technology, Railways 2022, Aug 2022, Montpellier, France. pp.1-5, ⟨10.4203/ccc.1.7.6⟩
Communication dans un congrès hal-03799316v1

High-speed train speed optimization for limiting energy consumption

Julien Nespoulous , Christian Soize , Christine Funfschilling , Guillaume Perrin
the 27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2021), Aug 2021, Saint-Petersburg, Russia
Communication dans un congrès hal-03381366v1

Optimization under uncertainties of high-speed train speed to limit energy consumption

Julien Nespoulous , Christian Soize , Christine Funfschilling , Guillaume Perrin
UNCECOMP 2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2021, Athens, Greece
Communication dans un congrès hal-03278233v1

Bayesian identification of the random elasticity field of a heterogeneous microstructure

Guillaume Perrin , 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-01876756v1

Railway dynamics for the condition monitoring of suspensions

Christine Funfschilling , David Lebel , Christian Soize , Guillaume Perrin
TRA Vienna 2018, A digital era for transport, Apr 2018, Vienna, Austria
Communication dans un congrès hal-01810458v1

Bayesian calibration of high-speed train suspensions parameters using Kriging metamodeling

David Lebel , Christian Soize , Christine Funfschilling , Guillaume Perrin
IMAC XXXVIII, Feb 2018, Orlando, Florida, United States. pp.1-3
Communication dans un congrès hal-01810455v1

State health monitoring of high-speed train suspensions by bayesian calibration based on gaussian surrogate modeling

David Lebel , Christian Soize , Christine Funfschilling , Guillaume Perrin
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-01876753v1
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Bayesian calibration of mechanical parameters of high-speed train suspensions

David Lebel , Christian Soize , Christine Funfschilling , Guillaume Perrin
10th International Conference on Structural Dynamics, EURODYN 2017, EASD, Sep 2017, Rome, Italy. pp.1234-1239
Communication dans un congrès hal-01585710v1
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Inverse identification of mechanical parameters of high-speed train suspensions submitted to random track irregularities

David Lebel , Christian Soize , Christine Funfschilling , Guillaume Perrin
12th International Conference on Structural Safety & Reliability, ICOSSAR 2017, Aug 2017, Vienna, Austria. pp.1-9
Communication dans un congrès hal-01575047v1
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Identification expérimentale des paramètres de suspensions des trains à grande vitesse par méthode statistique inverse

David Lebel , Christian Soize , Christine Funfschilling , Guillaume Perrin
13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France
Communication dans un congrès hal-01899340v1

Statistical inverse problems for non-Gaussian non-stationary stochastic processes defined by a set of realizations

Guillaume Perrin , Denis Duhamel , Christine Funfschilling , N Ouhbi , Jean-Noël Roux
Workshop "Propagation of Uncertainty", Institut Henti Poincaré, 2015, Paris, France, 2015, Paris, France
Communication dans un congrès hal-01306386v1

Statistical inverse problems for non-gaussian non-stationary stochastic processes defined by a set of realizations

Guillaume Perrin , Christian Soize
12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Jul 2015, Vancouver, Canada
Communication dans un congrès hal-01192564v1

Statistical inverse problems for non-Gaussian non-stationary stochastic processes defined by a set of realizations

Guillaume Perrin , Denis Duhamel , Christine Funfschilling , N Ouhbi , Christian Soize
Workshop "Propagation of Uncertainty", Institut Henti Poincaré, Dec 2015, Paris, France
Communication dans un congrès hal-01648105v1
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Statistical inverse problems for non-gaussian non-stationary stochastic processes defined by a set of realizations

Guillaume Perrin , Christian Soize
UNCECOMP 2015, 1st ECCOMAS Thematic International Conference on Uncertainty Quantification in Computational Sciences and Engineering, May 2015, The Island of Crete, Greece. pp.1-8
Communication dans un congrès hal-01162182v1

PCE identification from a set of realizations

Guillaume Perrin , Christian Soize
Workshop on Numerical Methods for High-Dimensional Problems, École des Ponts ParisTech, Apr 2014, Champs-sur-Marne, France
Communication dans un congrès hal-01305534v1

Representations of non-Gaussian positive-definite matrix-valued random fields for elliptic BVP and statistical inverse identification in high dimension using partial and limited experimental data

Christian Soize , Christophe Desceliers , Johann Guilleminot , Anthony Nouy , Guillaume Perrin
Workshop on Numerical Methods for High-Dimensional Problems, Ecole des Ponts ParisTech, Apr 2014, Champs-sur-Marne, Marne-la-Vallée, France. pp.Pages: 1-2
Communication dans un congrès hal-00989445v1

Data-driven kernel representations for sampling with an unknown block dependence

Guillaume Perrin , Christian Soize
Ecole Centrale Nantes, GDR MascotNum, March 22, 2018. 2018
Autre rapport, séminaire, workshop hal-01818920v1

Stochastic representations and statistical inverse identification for uncertainty quantification in computational mechanics

Christian Soize , Christophe Desceliers , Johann Guilleminot , T.T.H. Le , M-T Nguyen
Invited seminar, SEMTE, Arizona State University (ASU), Tempe, Arizona, December 4. 2015
Autre rapport, séminaire, workshop hal-01306385v1