Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction (2023)
Attributed to:
Tensor decomposition sampling algorithms for Bayesian inverse problems
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.jcp.2023.112103
Publication URI: http://dx.doi.org/10.1016/j.jcp.2023.112103
Type: Journal Article/Review
Parent Publication: Journal of Computational Physics