458 citations · 2.3k across the 71 of their papers we have counts for
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math.NA2014
Optimal low-rank approximations of Bayesian linear inverse problems
Alessio Spantini, Antti Solonen, Tiangang Cui +3
In the Bayesian approach to inverse problems, data are often informative, relative to the prior, only on a low-dimensional subspace of the parameter space. Significant computationa…
math.NA2014★ 123 cited
Spectral tensor-train decomposition
Daniele Bigoni, Allan P. Engsig-Karup, Youssef M. Marzouk
The accurate approximation of high-dimensional functions is an essential task in uncertainty quantification and many other fields. We propose a new function approximation scheme ba…