Youssef Marzouk

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Habib NajmSandia National LaboratoriesVerifierad e-postadress på sandia.gov
Ricardo Baptistavon Karman Instructor, California Institute of TechnologyVerifierad e-postadress på caltech.edu
Tiangang CuiUniversity of SydneyVerifierad e-postadress på sydney.edu.au
Ahmed F GhoniemProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Alessio SpantiniMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinVerifierad e-postadress på oden.utexas.edu
Bart van Bloemen WaandersSandia National LaboratoriesVerifierad e-postadress på sandia.gov
Matthew ParnoSolea EnergyVerifierad e-postadress på soleaenergy.com
Olivier ZahmINRIAVerifierad e-postadress på inria.fr
Daniele BigoniData Science Team Leader at Ammagamma S.r.l.Verifierad e-postadress på mit.edu
Jaideep RaySandia National LaboratoriesVerifierad e-postadress på sandia.gov
Tarek MoselhyMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Omar GhattasProfessor & Pratt endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinVerifierad e-postadress på ices.utexas.edu
Xun HuanAssistant Professor of Mechanical Engineering, University of MichiganVerifierad e-postadress på umich.edu
Alex GorodetskyAssistant Professor of Aerospace Engineering, University of MichiganVerifierad e-postadress på umich.edu
Patrick R. ConradMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerifierad e-postadress på meta.com
Sertac KaramanProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Anne WhiteMITVerifierad e-postadress på mit.edu
Martin GreenwaldMIT - Plasma Science & Fusion CenterVerifierad e-postadress på alum.mit.edu

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Youssef Marzouk

Professor, Massachusetts Institute of Technology

Verifierad e-postadress på mit.edu - Startsida

computational mathematics uncertainty quantification inverse problems data assimilation Bayesian statistics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Stochastic spectral methods for efficient Bayesian solution of inverse problems YM Marzouk, HN Najm, LA Rahn Journal of Computational Physics 224 (2), 560-586, 2007	569	2007
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems YM Marzouk, HN Najm Journal of Computational Physics 228 (6), 1862-1902, 2009	476	2009
Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013	461	2013
A stochastic collocation approach to Bayesian inference in inverse problems Y Marzouk, D Xiu Communications in Computational Physics 6 (4), 826-847, 2009	344	2009
Bayesian inference with optimal maps TA El Moselhy, YM Marzouk Journal of Computational Physics 231 (23), 7815-7850, 2012	327	2012
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification 1, 2, 2016	250*	2016
Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304, 109-137, 2016	213	2016
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... Wiley, 2011	208	2011
Data‐driven model reduction for the Bayesian solution of inverse problems T Cui, YM Marzouk, KE Willcox International Journal for Numerical Methods in Engineering 102 (5), 966-990, 2015	207	2015
Adaptive Smolyak pseudospectral approximations PR Conrad, YM Marzouk SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013	197	2013
Transport map accelerated Markov chain Monte Carlo M Parno, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018	191	2018
Likelihood-informed dimension reduction for nonlinear inverse problems T Cui, J Martin, YM Marzouk, A Solonen, A Spantini Inverse Problems 30 (11), 114015, 2014	178	2014
Surrogate and reduced‐order modeling: a comparison of approaches for large‐scale statistical inverse problems M Frangos, Y Marzouk, K Willcox, B van Bloemen Waanders Large‐Scale Inverse Problems and Quantification of Uncertainty, 123-149, 2010	177	2010
Uncertainty quantification in chemical systems HN Najm, BJ Debusschere, YM Marzouk, S Widmer, OP Le Maître International journal for numerical methods in engineering 80 (6‐7), 789-814, 2009	169	2009
Optimal low-rank approximations of Bayesian linear inverse problems A Spantini, A Solonen, T Cui, J Martin, L Tenorio, Y Marzouk SIAM Journal on Scientific Computing 37 (6), A2451-A2487, 2015	139	2015
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016	136	2016
Accelerating asymptotically exact MCMC for computationally intensive models via local approximations PR Conrad, YM Marzouk, NS Pillai, A Smith Journal of the American Statistical Association 111 (516), 1591-1607, 2016	133	2016
Inference via low-dimensional couplings A Spantini, D Bigoni, Y Marzouk Journal of Machine Learning Research 19 (66), 1-71, 2018	132	2018
A Stein variational Newton method G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl Advances in Neural Information Processing Systems 31, 2018	131	2018
Gradient-based stochastic optimization methods in Bayesian experimental design X Huan, YM Marzouk International Journal for Uncertainty Quantification 4 (6), 2014	130	2014

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