most citedTime series forecasting from partial observations via Non-negative Matrix Factorization

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3 papers

math.PR2026

Coupling some conditioned L{é}vy trees with the Kesten tree

Romain Abraham, Jean-François Delmas

We consider locally compact L{é}vy trees conditioned to be large, with respect to different criterion: its height, its maximal ''size'' vertex and its total ''mass''. In the criti…

cs.LG2026★ 1 cited

Time series forecasting from partial observations via Non-negative Matrix Factorization

Yohann de Castro, Luca Mencarelli

In modern time series problems, one aims at forecasting multiple time series with possible missing and noisy values. In this paper, we introduce the Sliding Mask Method (SMM) for f…

math.FA2026

Folded optimal transport and its application to separable quantum optimal transport

Thomas Borsoni

We introduce folded optimal transport, as a method to extend a cost or distance defined on the extreme boundary of a convex to the whole convex, related to convex extension. This c…