Generative modeling via tensor train sketching

In this paper, we introduce a sketching algorithm for constructing a tensor train representation of a probability density from its samples. Our method deviates from the standard recursive SVD-based procedure for constructing a tensor train. Instead, we formulate and solve a sequence of small linear...

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Bibliographic Details

Published in:	Applied and computational harmonic analysis Vol. 67; no. C; p. 101575
Main Authors:	Hur, YoonHaeng, Hoskins, Jeremy G., Lindsey, Michael, Stoudenmire, E.M., Khoo, Yuehaw
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.11.2023 Elsevier
Subjects:	Generative modeling High-dimensional function approximation Mathematics Randomized algorithm Tensor decompositions Tensor train High-dimensional function approximation Generative modeling Tensor decompositions Tensor train Randomized algorithm
ISSN:	1063-5203, 1096-603X
Online Access:	Get full text
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