Tiangang Cui
Monash University
H-index: 18
Oceania-Australia
Top articles of Tiangang Cui
Optimal Riemannian metric for Poincar {\'e} inequalities and how to ideally precondition Langevin dymanics
arXiv preprint arXiv:2404.02554
2024/4/3
Tiangang Cui
H-Index: 13
Xin Tong
H-Index: 7
Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events
SIAM Journal on Scientific Computing
2024/2/29
Sequential transport maps using SoS density estimation and -divergences
arXiv preprint arXiv:2402.17943
2024/2/27
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
Inverse Problems
2024/2/5
Tiangang Cui
H-Index: 13
Robert Scheichl
H-Index: 22
Bernstein approximation and beyond: proofs by means of elementary probability theory
arXiv preprint arXiv:2307.11533
2023/7/21
Tiangang Cui
H-Index: 13
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction
Journal of Computational Physics
2023/7/15
Tiangang Cui
H-Index: 13
Sergey Dolgov
H-Index: 16
Quasi-Monte Carlo methods for mixture distributions and approximated distributions via piecewise linear interpolation
arXiv preprint arXiv:2304.14786
2023/4/28
Tiangang Cui
H-Index: 13
Multilevel Monte Carlo methods for stochastic convection-diffusion eigenvalue problems
arXiv preprint arXiv:2303.03673
2023/3/7
Tiangang Cui
H-Index: 13
Robert Scheichl
H-Index: 22
Self-reinforced polynomial approximation methods for concentrated probability densities
arXiv preprint arXiv:2303.02554
2023/3/5
Tiangang Cui
H-Index: 13
Sergey Dolgov
H-Index: 16
Tensor-train methods for sequential state and parameter learning in state-space models
arXiv preprint arXiv:2301.09891
2023/1/24
Yiran Zhao
H-Index: 3
Tiangang Cui
H-Index: 13
Deep composition of Tensor-Trains using squared inverse Rosenblatt transports
Foundations of Computational Mathematics
2022/12
Tiangang Cui
H-Index: 13
Sergey Dolgov
H-Index: 16
A unified performance analysis of likelihood-informed subspace methods
Bernoulli
2022/11
Tiangang Cui
H-Index: 13
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems
Inverse Problems
2022/10/19
Tiangang Cui
H-Index: 13
A variational neural network approach for glacier modelling with nonlinear rheology
Communications in Computational Physics
2022/9/5
Tiangang Cui
H-Index: 13
Zhongjian Wang
H-Index: 3
Certified dimension reduction in nonlinear Bayesian inverse problems
Mathematics of Computation
2022/7
Convergence Speed and Approximation Accuracy of Numerical MCMC
arXiv preprint arXiv:2203.03104
2022/3/7
Joint parameter and model dimension reduction for Bayesian ice sheet inverse problems governed by the nonlinear Stokes equations
AGU Fall Meeting Abstracts
2021/12
Identification of community structure-based brain states and transitions using functional MRI
NeuroImage
2021/12/1
Data-free likelihood-informed dimension reduction of Bayesian inverse problems
Inverse Problems
2021/3/17
Tiangang Cui
H-Index: 13
Optimization-based Markov chain Monte Carlo methods for nonlinear hierarchical statistical inverse problems
SIAM/ASA Journal on Uncertainty Quantification
2021
Tiangang Cui
H-Index: 13
Co-Authors
