Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format

22 January 2020

Papers citing "Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format"

3 / 3 papers shown

Title
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation Tiangang Cui S. Dolgov Robert Scheichl 35 3 0 05 Sep 2022
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations A. Litvinenko Youssef Marzouk H. Matthies M. Scavino Alessio Spantini 14 4 0 13 Nov 2021
Deep composition of tensor-trains using squared inverse Rosenblatt transports Tiangang Cui S. Dolgov OT 16 33 0 14 Jul 2020