Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel

Fuente: arXiv

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Bibliographic Details
Main Authors:	Khamlich, Moaad, Pichi, Federico, Rozza, Gianluigi
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis Machine Learning 68T05, 65D99, 41A05, 65N30, 41A46, 90C25
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2308.13840