Youssef Marzouk

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	All	Since 2015
Citations	4581	3541
h-index	33	31
i10-index	71	63

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Co-authors

Habib NajmSandia National LaboratoriesVerified email at sandia.gov
Tiangang CuiMonash UniversityVerified email at monash.edu
Ahmed F GhoniemProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Bart van Bloemen WaandersSandia National LaboratoriesVerified email at sandia.gov
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinVerified email at oden.utexas.edu
Alessio SpantiniMassachusetts Institute of TechnologyVerified email at mit.edu
Jaideep RaySandia National LaboratoriesVerified email at sandia.gov
Daniele BigoniPost doctoral Associate at Massachusetts Institute of TechnologyVerified email at mit.edu
Matthew ParnoMassachusetts Institute of TechnologyVerified email at mit.edu
Xun HuanAssistant Professor of Mechanical Engineering, University of MichiganVerified email at umich.edu
Patrick R. ConradMassachusetts Institute of TechnologyVerified email at mit.edu
Tarek MoselhyMassachusetts Institute of TechnologyVerified email at mit.edu
Alex GorodetskyAssistant Professor of Aerospace Engineering, University of MichiganVerified email at umich.edu
Antti SolonenResearcher, laboratory of applied mathematics, Lappeenranta University of TechnologyVerified email at lut.fi
Anne WhiteMITVerified email at mit.edu
Martin GreenwaldMIT - Plasma Science & Fusion CenterVerified email at mit.edu
Sertac KaramanAssociate Professor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerified email at mit.edu
Kody J. H. LawDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Omar GhattasJackson School of Geosciences, Mechanical Engineering, & Oden Institute, Univ of Texas at AustinVerified email at ices.utexas.edu
Olivier ZahmINRIAVerified email at inria.fr

Youssef Marzouk

Professor, Massachusetts Institute of Technology

Verified email at mit.edu - Homepage

computational mathematics uncertainty quantification inverse problems data assimilation Bayesian statistics


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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	442	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	356	2009
A stochastic collocation approach to Bayesian inference in inverse problems Y Marzouk, D Xiu Communications in Computational Physics 6 (4), 826-847, 2009	271	2009
Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013	256	2013
Bayesian inference with optimal maps TA El Moselhy, YM Marzouk Journal of Computational Physics 231 (23), 7815-7850, 2012	200	2012
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... Wiley, 2011	140	2011
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	126	2009
Adaptive Smolyak pseudospectral approximations PR Conrad, YM Marzouk SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013	122	2013
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	121	2015
Likelihood-informed dimension reduction for nonlinear inverse problems T Cui, J Martin, YM Marzouk, A Solonen, A Spantini Inverse Problems 30 (11), 114015, 2014	115	2014
Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7] M Frangos, Y Marzouk, K Willcox, B van Bloemen Waanders John Wiley & Sons, 2010	114	2010
Dynamic response of strained premixed flames to equivalence ratio gradients YM Marzouk, AF Ghoniem, HN Najm MASSACHUSETTS INST OF TECH CAMBRIDGE DEPT OF MECHANICAL ENGINEERING, 2000	113	2000
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification, 1-41, 2016	108*	2016
Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304, 109-137, 2016	107	2016
Transport map accelerated Markov chain Monte Carlo M Parno, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018	91	2018
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	89	2015
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	86*	2016
Gradient-based stochastic optimization methods in Bayesian experimental design X Huan, Y Marzouk International Journal for Uncertainty Quantification 4 (6), 2014	73	2014
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016	71	2016
Improved profile fitting and quantification of uncertainty in experimental measurements of impurity transport coefficients using Gaussian process regression MA Chilenski, M Greenwald, Y Marzouk, NT Howard, AE White, JE Rice, ... Nuclear Fusion 55 (2), 023012, 2015	66	2015

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