Seuraa
Tiangang Cui
Tiangang Cui
Vahvistettu sähköpostiosoite verkkotunnuksessa monash.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304 (1), 109-137, 2016
1662016
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
1552015
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
1422011
Likelihood-informed dimension reduction for nonlinear inverse problems
T Cui, J Martin, YM Marzouk, A Solonen, A Spantini
Inverse Problems 30 (11), 114015, 2014
1402014
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
1132015
Multifidelity importance sampling
B Peherstorfer, T Cui, Y Marzouk, K Willcox
Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016
982016
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems 31, 2018
822018
Certified dimension reduction in nonlinear Bayesian inverse problems
O Zahm, T Cui, K Law, A Spantini, Y Marzouk
Mathematics of Computation 91 (336), 1789-1835, 2022
50*2022
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
482016
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
332017
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
32*2019
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
242017
Optimization methods for inverse problems
N Ye, F Roosta-Khorasani, T Cui
2017 MATRIX Annals, 121-140, 2019
202019
On dimension reduction in Gaussian filters
A Solonen, T Cui, J Hakkarainen, Y Marzouk
Inverse Problems 32 (4), 045003, 2016
202016
Bayesian calibration of geothermal reservoir models via Markov Chain Monte Carlo
T Cui
University of Auckland, 2010
152010
Scalable optimization-based sampling on function space
JM Bardsley, T Cui, YM Marzouk, Z Wang
SIAM Journal on Scientific Computing 42 (2), A1317-A1347, 2020
14*2020
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
142019
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
122018
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
T Cui, G Detommaso, R Scheichl
arXiv preprint arXiv:1910.12431, 2019
112019
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
9*2019
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Artikkelit 1–20