Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events (2024)

First Author: Cui T
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/10.1137/23m1546981

Publication URI: http://dx.doi.org/10.1137/23m1546981

Type: Journal Article/Review

Parent Publication: SIAM Journal on Scientific Computing

Issue: 1