The Fokker-Planck Equation for Stochastic Dynamical Systems and Its Explicit Steady State Solutions - Christian Soize (World Scientific, 1994)

Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure. - Christian Soize; Roger G. Ghanem (SIAM J. Sci. Comput., 2004)

Information Theory for Generation of Accelerograms Associated with Shock Response Spectra. - Christian Soize (Comput. Aided Civ. Infrastructure Eng., 2010)

Identification of Bayesian posteriors for coefficients of chaos expansions. - Maarten Arnst; Roger G. Ghanem; Christian Soize (J. Comput. Phys., 2010)

Computational Aspects for Constructing Realizations of Polynomial Chaos in High Dimension. - Christian Soize; Christophe Desceliers (SIAM J. Sci. Comput., 2010)

Special Issue on Computational Intelligence in Structural Engineering and Mechanics. - James L. Beck; Wolfgang Graf; Christian Soize (Comput. Aided Civ. Infrastructure Eng., 2012)

Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation. - Christian Soize; Igor E. Poloskov (Comput. Math. Appl., 2012)

Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations. - Guillaume Perrin; Christian Soize; Denis Duhamel; C. Funfschilling (SIAM J. Sci. Comput., 2012)

Ultrasound Wave Propagation in a Stochastic Cortical Bone Plate. - Salah Naili; Vu-Hieu Nguyen; Mai-Ba Vu; Christophe Desceliers; Christian Soize (KSE (2), 2013)

Computational Nonlinear Thermomechanical Model of Large Light Partition Walls Based on Experimental Analysis and Probabilistic Models. - T. T. Do; Christian Soize; J.-V. Heck (Comput. Aided Civ. Infrastructure Eng., 2013)

Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis. - Guillaume Perrin; Christian Soize; Denis Duhamel; C. Funfschilling (J. Comput. Phys., 2013)

Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems. - Maarten Arnst; Christian Soize; Roger G. Ghanem (SIAM/ASA J. Uncertain. Quantification, 2013)

Calculation of Lagrange Multipliers in the Construction of Maximum Entropy Distributions in High Stochastic Dimension. - A. Batou; Christian Soize (SIAM/ASA J. Uncertain. Quantification, 2013)

Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media. - Johann Guilleminot; Christian Soize (Multiscale Model. Simul., 2013)

A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations. - Guillaume Perrin; Christian Soize; Denis Duhamel; C. Funfschilling (SIAM/ASA J. Uncertain. Quantification, 2014)

Itô SDE-based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification. - Johann Guilleminot; Christian Soize (SIAM J. Sci. Comput., 2014)

Introduction. - James L. Beck; Wolfgang Graf; Christian Soize (Comput. Aided Civ. Infrastructure Eng., 2015)

Robust design optimization with an uncertain model of a nonlinear vibro-impact electro-mechanical system. - Roberta Lima; Christian Soize; Rubens Sampaio (Commun. Nonlinear Sci. Numer. Simul., 2015)

Polynomial Chaos Expansion of a Multimodal Random Vector. - Christian Soize (SIAM/ASA J. Uncertain. Quantification, 2015)

Jitter generation in voice signals produced by a two-mass stochastic mechanical model. - Edson Cataldo; Christian Soize (Biomed. Signal Process. Control., 2016)

Data-driven probability concentration and sampling on manifold. - Christian Soize; Roger G. Ghanem (J. Comput. Phys., 2016)

Nested polynomial trends for the improvement of Gaussian process-based predictors. - Guillaume Perrin; Christian Soize; Sophie Marque-Pucheu; Josselin Garnier (J. Comput. Phys., 2017)

Polynomial chaos representation of databases on manifolds. - Christian Soize; Roger G. Ghanem (J. Comput. Phys., 2017)

Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations. - Christian Soize (SIAM/ASA J. Uncertain. Quantification, 2017)

Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. - Guillaume Perrin; Christian Soize; N. Ouhbi (Comput. Stat. Data Anal., 2018)

Experimental evaluation and model of a nonlinear absorber for vibration attenuation. - Deborah Lavazec; Gwendal Cumunel; Denis Duhamel; Christian Soize (Commun. Nonlinear Sci. Numer. Simul., 2019)

Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset. - Christian Soize; Roger G. Ghanem (CoRR, 2019)

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. - Roger G. Ghanem; Christian Soize; Cosmin Safta; Xun Huan; Guilhem Lacaze; Joseph C. Oefelein; Habib N. Najm (J. Comput. Phys., 2019)

Entropy-based closure for probabilistic learning on manifolds. - Christian Soize; Roger G. Ghanem; Cosmin Safta; Xun Huan; Zachary P. Vane; Joseph C. Oefelein; Guilhem Lacaze; Habib N. Najm; Qi Tang; X. Chen (J. Comput. Phys., 2019)

Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets. - Christian Soize; Roger G. Ghanem (CoRR, 2020)

Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework. - Guillaume Perrin; Christian Soize (Comput. Stat., 2020)

Compressed Principal Component Analysis of Non-Gaussian Vectors. - Marc Mignolet; Christian Soize (SIAM/ASA J. Uncertain. Quantification, 2020)

Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset. - Christian Soize; Roger G. Ghanem; Christophe Desceliers (Stat. Comput., 2020)

A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds. - Edson Cataldo; Christian Soize (Biomed. Signal Process. Control., 2021)

Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings. - Americo Cunha Jr.; Christian Soize; Rubens Sampaio (CoRR, 2021)

Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints. - Christian Soize (CoRR, 2022)

Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures. - Christian Soize (Comput. Stat., 2023)

Transient anisotropic kernel for probabilistic learning on manifolds. - Christian Soize; Roger G. Ghanem (CoRR, 2024)

Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate. - Christian Soize; Quy-Dong To (J. Comput. Phys., 2024)

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset. - Evangéline Capiez-Lernout; Olivier Ezvan; Christian Soize (J. Comput. Inf. Sci. Eng., 2024)

A tractable nonparametric probabilistic approach for modeling and quantifying model-form uncertainty in turbulent CFD. - Emily Jewell; Charbel Farhat; Christian Soize (J. Comput. Phys., 2025)