Orthogonal representations of stochastic processes and their propagation in mechanics. - Roger G. Ghanem; John R. Red-Horse (CDC, 2004)

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes. - Bert J. Debusschere; Habib N. Najm; Philippe P. Pébay; Omar M. Knio; Roger G. Ghanem; Olivier P. Le Maître (SIAM J. Sci. Comput., 2004)

Special Issue on Uncertainty Quantification. - Roger G. Ghanem; Steven F. Wojtkiewicz (SIAM J. Sci. Comput., 2004)

Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions. - Olivier P. Le Maître; M. T. Reagan; Bert J. Debusschere; Habib N. Najm; Roger G. Ghanem; Omar M. Knio (SIAM J. Sci. Comput., 2004)

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

An equation-free, multiscale approach to uncertainty quantification. - Dongbin Xiu; Ioannis G. Kevrekidis; Roger G. Ghanem (Comput. Sci. Eng., 2005)

A Multiscale Data Assimilation with the Ensemble Kalman Filter. - Yu Zou; Roger G. Ghanem (Multiscale Model. Simul., 2005)

Error Estimation in the Spatial Discretization of Multiscale Bridging Models. - Yu Zou; Roger G. Ghanem (Multiscale Model. Simul., 2005)

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach. - Sonjoy Das; Roger G. Ghanem; James C. Spall (CDC, 2006)

Domain Decompostion Of Stochastic PDEs and its Parallel. - Abhijit Sarkar; Nabil Benabbou; Roger G. Ghanem (HPCS, 2006)

Ultrasound Monitoring of Tissue Ablation Via Deformation Model and Shape Priors. - Emad Boctor; Michelle de Oliveira; Michael A. Choti; Roger G. Ghanem; Russell H. Taylor; Gregory D. Hager; Gabor Fichtinger (MICCAI (2), 2006)

On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data. - Roger G. Ghanem; Alireza Doostan (J. Comput. Phys., 2006)

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information. - Sonjoy Das; James C. Spall; Roger G. Ghanem (CDC, 2007)

Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems. - Olivier P. Le Maître; Habib N. Najm; Philippe P. Pébay; Roger G. Ghanem; Omar M. Knio (SIAM J. Sci. Comput., 2007)

Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach. - Sonjoy Das; Roger G. Ghanem; James C. Spall (SIAM J. Sci. Comput., 2008)

Polynomial chaos representation of spatio-temporal random fields from experimental measurements. - Sonjoy Das; Roger G. Ghanem; Steven Finette (J. Comput. Phys., 2009)

A Bounded Random Matrix Approach for Stochastic Upscaling. - Sonjoy Das; Roger G. Ghanem (Multiscale Model. Simul., 2009)

Efficient Monte Carlo computation of Fisher information matrix using prior information. - Sonjoy Das; James C. Spall; Roger G. Ghanem (Comput. Stat. Data Anal., 2010)

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

Accelerating agent-based computation of complex urban systems. - Yu Zou; Paul M. Torrens; Roger G. Ghanem; Ioannis G. Kevrekidis (Int. J. Geogr. Inf. Sci., 2012)

Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata. - Paul M. Torrens; Ioannis G. Kevrekidis; Roger G. Ghanem; Yu Zou (Entropy, 2013)

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

Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics. - Charanraj Thimmisetty; Arman Khodabakhshnejad; Nima Jabbari; Fred Aminzadeh; Roger G. Ghanem; Kelly Rose; Jennifer R. Bauer; Corinne Disenhof (DyDESS, 2014)

Basis adaptation in homogeneous chaos spaces. - Ramakrishna Tipireddy; Roger G. Ghanem (J. Comput. Phys., 2014)

Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday. - Bedrich Sousedík; Roger G. Ghanem; Eric T. Phipps (Numer. Linear Algebra Appl., 2014)

Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem. - Roger G. Ghanem; Iman Yadegaran; Charan Thimmisetty; Vahid Keshavarzzadeh; Sami F. Masri; John R. Red-Horse; Robert D. Moser; Todd A. Oliver; Pol D. Spanos; Osama J. Aldraihem (J. Aerosp. Inf. Syst., 2015)

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

Uncertainty quantification for engineering design. - Roger G. Ghanem; Xiaoping Du (Artif. Intell. Eng. Des. Anal. Manuf., 2017)

Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem. - Charanraj Thimmisetty; Panagiotis Tsilifis; Roger G. Ghanem (Artif. Intell. Eng. Des. Anal. Manuf., 2017)

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

Reduced Wiener Chaos representation of random fields via basis adaptation and projection. - Panagiotis Tsilifis; Roger G. Ghanem (J. Comput. Phys., 2017)

Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound. - Panagiotis Tsilifis; Roger G. Ghanem; Paris Hajali (SIAM/ASA J. Uncertain. Quantification, 2017)

The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update. - Panagiotis Tsilifis; William J. Browning; Thomas E. Wood; Paul K. Newton; Roger G. Ghanem (J. Nonlinear Sci., 2018)

Data-driven discovery of free-form governing differential equations. - Steven Atkinson; Waad Subber; Liping Wang; Genghis Khan; Philippe Hawi; Roger G. Ghanem (CoRR, 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)

Compressive sensing adaptation for polynomial chaos expansions. - Panagiotis Tsilifis; Xun Huan; Cosmin Safta; Khachik Sargsyan; Guilhem Lacaze; Joseph C. Oefelein; Habib N. Najm; Roger G. Ghanem (J. Comput. Phys., 2019)

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

Demand, Supply, and Performance of Street-Hail Taxi. - Ruda Zhang; Roger G. Ghanem (IEEE Trans. Intell. Transp. Syst., 2020)

Data-based Discovery of Governing Equations. - Waad Subber; Piyush Pandita; Sayan Ghosh; Genghis Khan; Liping Wang; Roger G. Ghanem (AAAI Spring Symposium: MLPS, 2021)

Normal-Bundle Bootstrap. - Ruda Zhang; Roger G. Ghanem (SIAM J. Math. Data Sci., 2021)

Projection pursuit adaptation on polynomial chaos expansions. - Xiaoshu Zeng; Roger G. Ghanem (CoRR, 2022)

Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium. - Ruda Zhang; Roger G. Ghanem (IEEE Trans. Intell. Transp. Syst., 2022)

Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials. - Zhiheng Wang; Philippe Hawi; Sami F. Masri; Venkat Aitharaju; Roger G. Ghanem (Reliab. Eng. Syst. Saf., 2023)

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

Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister. - Bozhou Zhuang; Anna Arcaro; Bora Gencturk; Roger G. Ghanem (Eng. Appl. Artif. Intell., 2024)

Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers. - Anna Arcaro; Bozhou Zhuang; Bora Gencturk; Roger G. Ghanem (Reliab. Eng. Syst. Saf., 2024)

Generative Learning of Densities on Manifolds. - Dimitris G. Giovanis; Ellis R. Crabtree; Roger G. Ghanem; Ioannis G. Kevrekidis (CoRR, 2025)

Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps. - Dimitris G. Giovanis; Nikolaos Evangelou; Ioannis G. Kevrekidis; Roger G. Ghanem (CoRR, 2025)

Microstructure characterization in thermal barrier coatings using Sparse Polynomial Chaos Classifiers and Global Sensitivity Analysis. - Panagiotis Tsilifis; Roger G. Ghanem; Ryan Jacobs (Reliab. Eng. Syst. Saf., 2026)