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Tiangang Cui

Massachusetts Institute of Technology
Monash University

62

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1235

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Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems.

2022 CoRR
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Identification of brain states, transitions, and communities using functional MRI.

2021 arXiv: Neurons and Cognition
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Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems.

2021 arXiv: Computation
- Tiangang Cui
- Olivier Zahm
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Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports

2021 Foundations of Computational Mathematics
- Tiangang Cui
- Sergey Dolgov
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Identification of community structure-based brain states and transitions using functional MRI.

2021 NeuroImage
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Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems

2021 Inverse Problems
- Tiangang Cui
- Olivier Zahm
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A unified performance analysis of likelihood-informed subspace methods.

2021 arXiv: Computation
- Tiangang Cui
- Xin T. Tong
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Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems

2021 SIAM/ASA Journal on Uncertainty Quantification
- Johnathan M. Bardsley
- Tiangang Cui
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Randomized reduced forward models for efficient Metropolis–Hastings MCMC, with application to subsurface fluid flow and capacitance tomography

2020 Gem - International Journal on Geomathematics
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Semivariogram methods for modeling Whittle-Matérn priors in Bayesian inverse problems

2020 Inverse Problems
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