Dimension-independent likelihood-informed MCMC T Cui, KJH Law, YM Marzouk Journal of Computational Physics 304 (1), 109-137, 2016 | 221 | 2016 |
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 | 207 | 2015 |
Likelihood-informed dimension reduction for nonlinear inverse problems T Cui, J Martin, YM Marzouk, A Solonen, A Spantini Inverse Problems 30 (11), 114015, 2014 | 183 | 2014 |
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 | 156 | 2011 |
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 | 142 | 2015 |
Multifidelity importance sampling B Peherstorfer, T Cui, Y Marzouk, K Willcox Computer Methods in Applied Mechanics and Engineering 300, 490-509, 2016 | 141 | 2016 |
A Stein variational Newton method G Detommaso, T Cui, Y Marzouk, A Spantini, R Scheichl Advances in Neural Information Processing Systems 31, 2018 | 130 | 2018 |
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 | 86 | 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 | 69 | 2016 |
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 | 43 | 2017 |
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 | 40* | 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 | 35 | 2017 |
Optimization methods for inverse problems N Ye, F Roosta-Khorasani, T Cui 2017 MATRIX Annals, 121-140, 2019 | 32 | 2019 |
On dimension reduction in Gaussian filters A Solonen, T Cui, J Hakkarainen, Y Marzouk Inverse Problems 32 (4), 045003, 2016 | 29 | 2016 |
Deep composition of tensor-trains using squared inverse rosenblatt transports T Cui, S Dolgov Foundations of Computational Mathematics 22 (6), 1863-1922, 2022 | 28 | 2022 |
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 | 25 | 2019 |
Data-free likelihood-informed dimension reduction of Bayesian inverse problems T Cui, O Zahm Inverse Problems 37 (4), 045009, 2021 | 24 | 2021 |
A unified performance analysis of likelihood-informed subspace methods T Cui, XT Tong Bernoulli 28 (4), 2788-2815, 2022 | 22 | 2022 |
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 | 22 | 2020 |
Bayesian calibration of geothermal reservoir models via Markov Chain Monte Carlo T Cui PhD Thesis-University of Auckland, 2010 | 19 | 2010 |