Youssef Marzouk 个人学术档案

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	总计	2019 年至今
引用	8258	5398
h 指数	43	39
i10 指数	102	89

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Habib NajmSandia National Laboratories在 sandia.gov 的电子邮件经过验证
Ricardo Baptistavon Karman Instructor, California Institute of Technology在 caltech.edu 的电子邮件经过验证
Tiangang CuiUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
Ahmed F GhoniemProfessor of Mechanical Engineering, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Alessio SpantiniMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT Austin在 oden.utexas.edu 的电子邮件经过验证
Bart van Bloemen WaandersSandia National Laboratories在 sandia.gov 的电子邮件经过验证
Olivier ZahmINRIA在 inria.fr 的电子邮件经过验证
Matthew ParnoSolea Energy在 soleaenergy.com 的电子邮件经过验证
Daniele BigoniData Science Team Leader at Ammagamma S.r.l.在 mit.edu 的电子邮件经过验证
Jaideep RaySandia National Laboratories在 sandia.gov 的电子邮件经过验证
Tarek MoselhyMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Omar GhattasProfessor & Pratt endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin在 ices.utexas.edu 的电子邮件经过验证
Xun HuanAssistant Professor of Mechanical Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
Alex GorodetskyAssistant Professor of Aerospace Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
Patrick R. ConradMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at Meta在 meta.com 的电子邮件经过验证
Anne WhiteMIT在 mit.edu 的电子邮件经过验证
Martin GreenwaldMIT - Plasma Science & Fusion Center在 alum.mit.edu 的电子邮件经过验证
Sertac KaramanProfessor of Aeronautics and Astronautics, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证

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Youssef Marzouk

Professor, Massachusetts Institute of Technology

在 mit.edu 的电子邮件经过验证 - 首页

computational mathematics uncertainty quantification inverse problems data assimilation Bayesian statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	579	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	477	2009
Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013	476	2013
A stochastic collocation approach to Bayesian inference in inverse problems Y Marzouk, D Xiu Communications in Computational Physics 6 (4), 826-847, 2009	346	2009
Bayesian inference with optimal maps TA El Moselhy, YM Marzouk Journal of Computational Physics 231 (23), 7815-7850, 2012	336	2012
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification 1, 2, 2016	264*	2016
Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304, 109-137, 2016	220	2016
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... Wiley, 2011	209	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	198	2013
Transport map accelerated Markov chain Monte Carlo M Parno, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018	195	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	183	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	181	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	170	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	142	2015
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016	141	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	135	2016
Inference via low-dimensional couplings A Spantini, D Bigoni, Y Marzouk Journal of Machine Learning Research 19 (66), 1-71, 2018	134	2018
Gradient-based stochastic optimization methods in Bayesian experimental design X Huan, YM Marzouk International Journal for Uncertainty Quantification 4 (6), 2014	134	2014
A Stein variational Newton method G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl Advances in Neural Information Processing Systems 31, 2018	130	2018

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