Youssef Marzouk

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Habib NajmSandia National LaboratoriesVerified email at sandia.gov
Tiangang CuiUniversity of SydneyVerified email at sydney.edu.au
Ricardo Baptistavon Karman Instructor, California Institute of TechnologyVerified email at caltech.edu
Ahmed F GhoniemProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinVerified email at oden.utexas.edu
Alessio SpantiniMassachusetts Institute of TechnologyVerified email at mit.edu
Bart van Bloemen WaandersSandia National LaboratoriesVerified email at sandia.gov
Matthew ParnoSolea EnergyVerified email at soleaenergy.com
Olivier ZahmINRIAVerified email at inria.fr
Daniele BigoniData Science Team Leader at Ammagamma S.r.l.Verified email at mit.edu
Jaideep RaySandia National LaboratoriesVerified email at sandia.gov
Omar GhattasProfessor & Pratt endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinVerified email at ices.utexas.edu
Tarek MoselhyMassachusetts Institute of TechnologyVerified email at mit.edu
Xun HuanAssistant Professor of Mechanical Engineering, University of MichiganVerified email at umich.edu
Alex GorodetskyAssistant Professor of Aerospace Engineering, University of MichiganVerified email at umich.edu
Patrick R. ConradMassachusetts Institute of TechnologyVerified email at mit.edu
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerified email at meta.com
Sertac KaramanProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerified email at mit.edu
Anne WhiteMITVerified email at mit.edu
Martin GreenwaldMIT - Plasma Science & Fusion CenterVerified email at mit.edu

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	555	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	460	2009
Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013	432	2013
A stochastic collocation approach to Bayesian inference in inverse problems Y Marzouk, D Xiu Communications in Computational Physics 6 (4), 826-847, 2009	327	2009
Bayesian inference with optimal maps TA El Moselhy, YM Marzouk Journal of Computational Physics 231 (23), 7815-7850, 2012	317	2012
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification 1, 2, 2016	236*	2016
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	202	2015
Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304, 109-137, 2016	201	2016
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... Wiley, 2011	198	2011
Adaptive Smolyak pseudospectral approximations PR Conrad, YM Marzouk SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013	190	2013
Transport map accelerated Markov chain Monte Carlo M Parno, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018	177	2018
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	169	2010
Likelihood-informed dimension reduction for nonlinear inverse problems T Cui, J Martin, YM Marzouk, A Solonen, A Spantini Inverse Problems 30 (11), 114015, 2014	168	2014
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	167	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	133	2015
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016	128	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	127*	2016
A Stein variational Newton method G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl Advances in Neural Information Processing Systems 31, 2018	123	2018
Gradient-based stochastic optimization methods in Bayesian experimental design X Huan, Y Marzouk International Journal for Uncertainty Quantification 4 (6), 2014	121	2014
Dynamic response of strained premixed flames to equivalence ratio gradients YM Marzouk, AF Ghoniem, HN Najm Proceedings of the combustion institute 28 (2), 1859-1866, 2000	118	2000

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