186 citations · 711 across the 31 of their papers we have counts for
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stat.CO2015★ 59 cited
Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction
Tiangang Cui, Youssef M. Marzouk, Karen E. Willcox
Two major bottlenecks to the solution of large-scale Bayesian inverse problems are the scaling of posterior sampling algorithms to high-dimensional parameter spaces and the computa…
stat.CO2015★ 25 cited
On dimension reduction in Gaussian filters
Antti Solonen, Tiangang Cui, Janne Hakkarainen +1
A priori dimension reduction is a widely adopted technique for reducing the computational complexity of stationary inverse problems. In this setting, the solution of an inverse pro…