Youssef Marzouk
Cited by
Cited by
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
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
Simulation-based optimal Bayesian experimental design for nonlinear systems
X Huan, YM Marzouk
Journal of Computational Physics 232 (1), 288-317, 2013
A stochastic collocation approach to Bayesian inference in inverse problems
Y Marzouk, D Xiu
Communications in Computational Physics 6 (4), 826-847, 2009
Bayesian inference with optimal maps
TA El Moselhy, YM Marzouk
Journal of Computational Physics 231 (23), 7815-7850, 2012
Sampling via measure transport: An introduction
Y Marzouk, T Moselhy, M Parno, A Spantini
Handbook of uncertainty quantification 1, 2, 2016
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304, 109-137, 2016
Large-scale inverse problems and quantification of uncertainty
L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ...
Wiley, 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
Adaptive Smolyak pseudospectral approximations
PR Conrad, YM Marzouk
SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013
Transport map accelerated Markov chain Monte Carlo
M Parno, Y Marzouk
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 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
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
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
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
Multifidelity importance sampling
B Peherstorfer, T Cui, Y Marzouk, K Willcox
Computer Methods in Applied Mechanics and Engineering 300, 490-509, 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
Inference via low-dimensional couplings
A Spantini, D Bigoni, Y Marzouk
Journal of Machine Learning Research 19 (66), 1-71, 2018
Gradient-based stochastic optimization methods in Bayesian experimental design
X Huan, YM Marzouk
International Journal for Uncertainty Quantification 4 (6), 2014
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems 31, 2018
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Articles 1–20