Youssef Marzouk

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122 件の論文

3 件の論文

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Habib NajmSandia National Laboratories確認したメールアドレス: sandia.gov
Ricardo BaptistaCalifornia Institute of Technology確認したメールアドレス: caltech.edu
Tiangang CuiUniversity of Sydney確認したメールアドレス: sydney.edu.au
Ahmed F GhoniemProfessor of Mechanical Engineering, Massachusetts Institute of Technology確認したメールアドレス: mit.edu
Alessio SpantiniMassachusetts Institute of Technology確認したメールアドレス: mit.edu
Bart van Bloemen WaandersSandia National Laboratories確認したメールアドレス: sandia.gov
Olivier ZahmINRIA確認したメールアドレス: inria.fr
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT Austin確認したメールアドレス: oden.utexas.edu
Matthew ParnoSolea Energy確認したメールアドレス: soleaenergy.com
Daniele BigoniData Science Team Leader at Ammagamma S.r.l.確認したメールアドレス: mit.edu
Jaideep RaySandia National Laboratories確認したメールアドレス: sandia.gov
Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin確認したメールアドレス: ices.utexas.edu
Xun HuanAssociate Professor of Mechanical Engineering, University of Michigan確認したメールアドレス: umich.edu
Tarek MoselhyMassachusetts Institute of Technology確認したメールアドレス: mit.edu
Alex GorodetskyAssociate Professor of Aerospace Engineering, University of Michigan確認したメールアドレス: umich.edu
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at Meta確認したメールアドレス: meta.com
Patrick R. ConradMassachusetts Institute of Technology確認したメールアドレス: mit.edu
Sertac KaramanProfessor of Aeronautics and Astronautics, Massachusetts Institute of Technology確認したメールアドレス: mit.edu
Anne WhiteMIT確認したメールアドレス: mit.edu
Martin GreenwaldMIT - Plasma Science & Fusion Center確認したメールアドレス: alum.mit.edu

フォロー

Youssef Marzouk

Professor, Massachusetts Institute of Technology

確認したメールアドレス: mit.edu - ホームページ

computational mathematics uncertainty quantification inverse problems data assimilation Bayesian statistics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	598	2007
Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013	515	2013
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	498	2009
Bayesian inference with optimal maps TA El Moselhy, YM Marzouk Journal of Computational Physics 231 (23), 7815-7850, 2012	360	2012
A stochastic collocation approach to Bayesian inference in inverse problems Y Marzouk, D Xiu Communications in Computational Physics 6 (4), 826-847, 2009	357	2009
Sampling via measure transport: An introduction Y Marzouk, T Moselhy, M Parno, A Spantini Handbook of uncertainty quantification 1, 2, 2016	295*	2016
Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304, 109-137, 2016	228	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	220	2015
Large-scale inverse problems and quantification of uncertainty L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ... Wiley, 2011	219	2011
Transport map accelerated Markov chain Monte Carlo M Parno, Y Marzouk SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018	217	2018
Adaptive Smolyak pseudospectral approximations PR Conrad, YM Marzouk SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013	207	2013
Likelihood-informed dimension reduction for nonlinear inverse problems T Cui, J Martin, YM Marzouk, A Solonen, A Spantini Inverse Problems 30 (11), 114015, 2014	196	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	192	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	175	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	154	2015
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016	151	2016
Inference via low-dimensional couplings A Spantini, D Bigoni, Y Marzouk Journal of Machine Learning Research 19 (66), 1-71, 2018	145	2018
Gradient-based stochastic optimization methods in Bayesian experimental design X Huan, YM Marzouk International Journal for Uncertainty Quantification 4 (6), 2014	143	2014
A Stein variational Newton method G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl Advances in Neural Information Processing Systems 31, 2018	142	2018
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	141	2016

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