Theo dõi
Youssef Marzouk
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
5982007
Simulation-based optimal Bayesian experimental design for nonlinear systems
X Huan, YM Marzouk
Journal of Computational Physics 232 (1), 288-317, 2013
5252013
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
5012009
Bayesian inference with optimal maps
TA El Moselhy, YM Marzouk
Journal of Computational Physics 231 (23), 7815-7850, 2012
3582012
A stochastic collocation approach to Bayesian inference in inverse problems
Y Marzouk, D Xiu
Communications in Computational Physics 6 (4), 826-847, 2009
3572009
Sampling via measure transport: An introduction
Y Marzouk, T Moselhy, M Parno, A Spantini
Handbook of uncertainty quantification 1 (2), 2016
299*2016
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304, 109-137, 2016
2312016
Large-scale inverse problems and quantification of uncertainty
L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ...
Wiley, 2011
2212011
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
2202015
Transport map accelerated Markov chain Monte Carlo
M Parno, Y Marzouk
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 645–682, 2018
2152018
Adaptive Smolyak pseudospectral approximations
PR Conrad, YM Marzouk
SIAM Journal on Scientific Computing 35 (6), A2643-A2670, 2013
2102013
Likelihood-informed dimension reduction for nonlinear inverse problems
T Cui, J Martin, YM Marzouk, A Solonen, A Spantini
Inverse Problems 30 (11), 114015, 2014
1992014
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
1922010
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
1782009
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
1552015
Multifidelity importance sampling
B Peherstorfer, T Cui, Y Marzouk, K Willcox
Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016
1522016
Gradient-based stochastic optimization methods in Bayesian experimental design
X Huan, YM Marzouk
International Journal for Uncertainty Quantification 4 (6), 2014
1492014
Inference via low-dimensional couplings
A Spantini, D Bigoni, Y Marzouk
Journal of Machine Learning Research 19 (66), 1-71, 2018
1462018
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems 31, 2018
1442018
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
1402015
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