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Roger G. Ghanem
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2024
- [j38]Bozhou Zhuang, Anna Arcaro, Bora Gencturk, Roger G. Ghanem:
Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister. Eng. Appl. Artif. Intell. 128: 107484 (2024) - [j37]Anna Arcaro, Bozhou Zhuang, Bora Gencturk, Roger G. Ghanem:
Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers. Reliab. Eng. Syst. Saf. 252: 110446 (2024) - [i7]Christian Soize, Roger G. Ghanem:
Transient anisotropic kernel for probabilistic learning on manifolds. CoRR abs/2407.21435 (2024) - 2023
- [j36]Zhiheng Wang, Philippe Hawi, Sami F. Masri, Venkat Aitharaju, Roger G. Ghanem:
Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials. Reliab. Eng. Syst. Saf. 235: 109213 (2023) - 2022
- [j35]Ruda Zhang, Roger G. Ghanem:
Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium. IEEE Trans. Intell. Transp. Syst. 23(9): 15278-15287 (2022) - [i6]Xiaoshu Zeng, Roger G. Ghanem:
Projection pursuit adaptation on polynomial chaos expansions. CoRR abs/2211.13420 (2022) - 2021
- [j34]Ruda Zhang, Roger G. Ghanem:
Normal-Bundle Bootstrap. SIAM J. Math. Data Sci. 3(2): 573-592 (2021) - [c8]Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem:
Data-based Discovery of Governing Equations. AAAI Spring Symposium: MLPS 2021 - 2020
- [j33]Christian Soize, Roger G. Ghanem, Christophe Desceliers:
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset. Stat. Comput. 30(5): 1433-1457 (2020) - [j32]Ruda Zhang, Roger G. Ghanem:
Demand, Supply, and Performance of Street-Hail Taxi. IEEE Trans. Intell. Transp. Syst. 21(10): 4123-4132 (2020) - [i5]Ruda Zhang, Roger G. Ghanem:
Normal-bundle Bootstrap. CoRR abs/2007.13869 (2020) - [i4]Christian Soize, Roger G. Ghanem:
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets. CoRR abs/2010.14324 (2020) - [i3]Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem:
Data-based Discovery of Governing Equations. CoRR abs/2012.06036 (2020)
2010 – 2019
- 2019
- [j31]Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, Roger G. Ghanem:
Compressive sensing adaptation for polynomial chaos expansions. J. Comput. Phys. 380: 29-47 (2019) - [j30]Christian Soize, Roger G. Ghanem, Cosmin Safta, Xun Huan, Zachary P. Vane, Joseph C. Oefelein, Guilhem Lacaze, Habib N. Najm, Qi Tang, X. Chen:
Entropy-based closure for probabilistic learning on manifolds. J. Comput. Phys. 388: 518-533 (2019) - [j29]Roger G. Ghanem, Christian Soize, Cosmin Safta, Xun Huan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm:
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. J. Comput. Phys. 399 (2019) - [i2]Steven Atkinson, Waad Subber, Liping Wang, Genghis Khan, Philippe Hawi, Roger G. Ghanem:
Data-driven discovery of free-form governing differential equations. CoRR abs/1910.05117 (2019) - [i1]Christian Soize, Roger G. Ghanem:
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset. CoRR abs/1910.12717 (2019) - 2018
- [j28]Panagiotis Tsilifis, William J. Browning, Thomas E. Wood, Paul K. Newton, Roger G. Ghanem:
The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update. J. Nonlinear Sci. 28(1): 371-393 (2018) - 2017
- [j27]Roger G. Ghanem, Xiaoping Du:
Uncertainty quantification for engineering design. Artif. Intell. Eng. Des. Anal. Manuf. 31(2): 119 (2017) - [j26]Roger G. Ghanem, Xiaoping Du:
Uncertainty quantification for engineering design. Artif. Intell. Eng. Des. Anal. Manuf. 31(3): 222 (2017) - [j25]Charanraj Thimmisetty, Panagiotis Tsilifis, Roger G. Ghanem:
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem. Artif. Intell. Eng. Des. Anal. Manuf. 31(3): 265-276 (2017) - [j24]Christian Soize, Roger G. Ghanem:
Polynomial chaos representation of databases on manifolds. J. Comput. Phys. 335: 201-221 (2017) - [j23]Panagiotis Tsilifis, Roger G. Ghanem:
Reduced Wiener Chaos representation of random fields via basis adaptation and projection. J. Comput. Phys. 341: 102-120 (2017) - [j22]Panagiotis Tsilifis, Roger G. Ghanem, Paris Hajali:
Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound. SIAM/ASA J. Uncertain. Quantification 5(1): 30-62 (2017) - 2016
- [j21]Christian Soize, Roger G. Ghanem:
Data-driven probability concentration and sampling on manifold. J. Comput. Phys. 321: 242-258 (2016) - 2015
- [j20]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:
Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem. J. Aerosp. Inf. Syst. 12(1): 170-188 (2015) - 2014
- [j19]Ramakrishna Tipireddy, Roger G. Ghanem:
Basis adaptation in homogeneous chaos spaces. J. Comput. Phys. 259: 304-317 (2014) - [j18]Bedrich Sousedík, Roger G. Ghanem, Eric T. Phipps:
Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday. Numer. Linear Algebra Appl. 21(1): 136-151 (2014) - [c7]Charanraj Thimmisetty, Arman Khodabakhshnejad, Nima Jabbari, Fred Aminzadeh, Roger G. Ghanem, Kelly Rose, Jennifer R. Bauer, Corinne Disenhof:
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics. DyDESS 2014: 157-166 - 2013
- [j17]Paul M. Torrens, Ioannis G. Kevrekidis, Roger G. Ghanem, Yu Zou:
Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata. Entropy 15(7): 2606-2634 (2013) - [j16]Maarten Arnst, Christian Soize, Roger G. Ghanem:
Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems. SIAM/ASA J. Uncertain. Quantification 1(1): 218-243 (2013) - 2012
- [j15]Yu Zou, Paul M. Torrens, Roger G. Ghanem, Ioannis G. Kevrekidis:
Accelerating agent-based computation of complex urban systems. Int. J. Geogr. Inf. Sci. 26(10): 1917-1937 (2012) - 2010
- [j14]Sonjoy Das, James C. Spall, Roger G. Ghanem:
Efficient Monte Carlo computation of Fisher information matrix using prior information. Comput. Stat. Data Anal. 54(2): 272-289 (2010) - [j13]Maarten Arnst, Roger G. Ghanem, Christian Soize:
Identification of Bayesian posteriors for coefficients of chaos expansions. J. Comput. Phys. 229(9): 3134-3154 (2010)
2000 – 2009
- 2009
- [j12]Sonjoy Das, Roger G. Ghanem, Steven Finette:
Polynomial chaos representation of spatio-temporal random fields from experimental measurements. J. Comput. Phys. 228(23): 8726-8751 (2009) - [j11]Sonjoy Das, Roger G. Ghanem:
A Bounded Random Matrix Approach for Stochastic Upscaling. Multiscale Model. Simul. 8(1): 296-325 (2009) - 2008
- [j10]Sonjoy Das, Roger G. Ghanem, James C. Spall:
Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach. SIAM J. Sci. Comput. 30(5): 2207-2234 (2008) - 2007
- [j9]Olivier P. Le Maître, Habib N. Najm, Philippe P. Pébay, Roger G. Ghanem, Omar M. Knio:
Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems. SIAM J. Sci. Comput. 29(2): 864-889 (2007) - [c6]Sonjoy Das, James C. Spall, Roger G. Ghanem:
An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information. CDC 2007: 963-968 - [c5]Sonjoy Das, James C. Spall, Roger G. Ghanem:
Efficient Monte Carlo computation of Fisher information matrix using prior information. PerMIS 2007: 242-249 - 2006
- [j8]Roger G. Ghanem, Alireza Doostan:
On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data. J. Comput. Phys. 217(1): 63-81 (2006) - [c4]Sonjoy Das, Roger G. Ghanem, James C. Spall:
Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach. CDC 2006: 4139-4144 - [c3]Abhijit Sarkar, Nabil Benabbou, Roger G. Ghanem:
Domain Decompostion Of Stochastic PDEs and its Parallel. HPCS 2006: 17 - [c2]Emad Boctor, Michelle de Oliveira, Michael A. Choti, Roger G. Ghanem, Russell H. Taylor, Gregory D. Hager, Gabor Fichtinger:
Ultrasound Monitoring of Tissue Ablation Via Deformation Model and Shape Priors. MICCAI (2) 2006: 405-412 - 2005
- [j7]Dongbin Xiu, Ioannis G. Kevrekidis, Roger G. Ghanem:
An equation-free, multiscale approach to uncertainty quantification. Comput. Sci. Eng. 7(3): 16-23 (2005) - [j6]Yu Zou, Roger G. Ghanem:
A Multiscale Data Assimilation with the Ensemble Kalman Filter. Multiscale Model. Simul. 3(1): 131-150 (2005) - [j5]Yu Zou, Roger G. Ghanem:
Error Estimation in the Spatial Discretization of Multiscale Bridging Models. Multiscale Model. Simul. 3(4): 940-956 (2005) - 2004
- [j4]Roger G. Ghanem, Steven F. Wojtkiewicz:
Special Issue on Uncertainty Quantification. SIAM J. Sci. Comput. 26(2) (2004) - [j3]Olivier P. Le Maître, M. T. Reagan, Bert J. Debusschere, Habib N. Najm, Roger G. Ghanem, Omar M. Knio:
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions. SIAM J. Sci. Comput. 26(2): 375-394 (2004) - [j2]Christian Soize, Roger G. Ghanem:
Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure. SIAM J. Sci. Comput. 26(2): 395-410 (2004) - [j1]Bert J. Debusschere, Habib N. Najm, Philippe P. Pébay, Omar M. Knio, Roger G. Ghanem, Olivier P. Le Maître:
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes. SIAM J. Sci. Comput. 26(2): 698-719 (2004) - [c1]Roger G. Ghanem, John R. Red-Horse:
Orthogonal representations of stochastic processes and their propagation in mechanics. CDC 2004: 1784-1787
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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