Követés
Tiangang Cui
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304 (1), 109-137, 2016
2142016
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
2072015
Likelihood-informed dimension reduction for nonlinear inverse problems
T Cui, J Martin, YM Marzouk, A Solonen, A Spantini
Inverse Problems 30 (11), 114015, 2014
1782014
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
1542011
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
1392015
Multifidelity importance sampling
B Peherstorfer, T Cui, Y Marzouk, K Willcox
Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016
1362016
A Stein variational Newton method
G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl
Advances in Neural Information Processing Systems 31, 2018
1292018
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
842022
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
632016
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
412017
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
39*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
342017
Optimization methods for inverse problems
N Ye, F Roosta-Khorasani, T Cui
2017 MATRIX Annals, 121-140, 2019
312019
On dimension reduction in Gaussian filters
A Solonen, T Cui, J Hakkarainen, Y Marzouk
Inverse Problems 32 (4), 045003, 2016
282016
Deep composition of Tensor-Trains using squared inverse Rosenblatt transports
T Cui, S Dolgov
Foundations of Computational Mathematics 22 (6), 1863-1922, 2022
262022
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
232019
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
222020
A unified performance analysis of likelihood-informed subspace methods
T Cui, XT Tong
Bernoulli 28 (4), 2788-2815, 2022
202022
Data-free likelihood-informed dimension reduction of Bayesian inverse problems
T Cui, O Zahm
Inverse Problems 37 (4), 045009, 2021
202021
Bayesian calibration of geothermal reservoir models via Markov Chain Monte Carlo
T Cui
PhD Thesis-University of Auckland, 2010
182010
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Cikkek 1–20