Tiangang Cui
Title
Cited by
Cited by
Year
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
1202015
Bayesian calibration of a large‐scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm
T Cui, C Fox, MJ O'sullivan
Water Resources Research 47 (10), 2011
1152011
Likelihood-informed dimension reduction for nonlinear inverse problems
T Cui, J Martin, YM Marzouk, A Solonen, A Spantini
Inverse Problems 30 (11), 114015, 2014
1112014
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304 (1), 109-137, 2016
1032016
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
872015
Multifidelity importance sampling
B Peherstorfer, T Cui, Y Marzouk, K Willcox
Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016
672016
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems, 9169-9179, 2018
442018
Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction
T Cui, YM Marzouk, KE Willcox
Journal of Computational Physics 315, 363-387, 2016
402016
A posteriori stochastic correction of reduced models in delayed‐acceptance MCMC, with application to multiphase subsurface inverse problems
T Cui, C Fox, MJ O'Sullivan
International Journal for Numerical Methods in Engineering 118 (10), 578-605, 2019
21*2019
Certified dimension reduction in nonlinear Bayesian inverse problems
O Zahm, T Cui, K Law, A Spantini, Y Marzouk
arXiv preprint arXiv:1807.03712, 2018
212018
Bayesian Inverse Problems with Priors: A Randomize-Then-Optimize Approach
Z Wang, JM Bardsley, A Solonen, T Cui, YM Marzouk
SIAM Journal on Scientific Computing 39 (5), S140-S166, 2017
212017
Goal-oriented optimal approximations of Bayesian linear inverse problems
A Spantini, T Cui, K Willcox, L Tenorio, Y Marzouk
SIAM Journal on Scientific Computing 39 (5), S167-S196, 2017
182017
Bayesian calibration of geothermal reservoir models via Markov Chain Monte Carlo
T Cui
PhD Thesis-University of Auckland, 2010
142010
On dimension reduction in Gaussian filters
A Solonen, T Cui, J Hakkarainen, Y Marzouk
Inverse Problems 32 (4), 045003, 2016
132016
Using Parallel Markov Chain Monte Carlo to Quantify Uncertainties in Geothermal Reservoir Calibration
T Cui, C Fox, M O'Sullivan, G Nicholls
International Journal for Uncertainty Quantification, 2019
11*2019
Uncertainty quantification for stream depletion tests
T Cui, ND Ward
Journal of Hydrologic Engineering 18 (12), 1581-1590, 2013
82013
Optimization methods for inverse problems
N Ye, F Roosta-Khorasani, T Cui
2017 MATRIX Annals, 121-140, 2019
62019
Rapid near-atomic resolution single-particle 3D reconstruction with SIMPLE
CF Reboul, S Kiesewetter, M Eager, M Belousoff, T Cui, H De Sterck, ...
Journal of structural biology 204 (2), 172-181, 2018
62018
Characterization of parameters for a spatially heterogenous aquifer from pumping test data
T Cui, N Dudley Ward, J Kaipio
Journal of Hydrologic Engineering 19 (6), 1203-1213, 2014
62014
Extraction of high-resolution structural orientations from digital data: A Bayesian approach
ST Thiele, L Grose, T Cui, AR Cruden, S Micklethwaite
Journal of Structural Geology 122, 106-115, 2019
52019
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Articles 1–20