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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Veröffentlicht in:	Applied and computational harmonic analysis Jg. 67; H. C; S. 101575
Hauptverfasser:	Hur, YoonHaeng, Hoskins, Jeremy G., Lindsey, Michael, Stoudenmire, E.M., Khoo, Yuehaw
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.11.2023 Elsevier
Schlagworte:	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-Zugang:	Volltext
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