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cs.LG2021★ 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…
cs.LG2020★ 4 cited
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
Quentin Duchemin, Yohann de Castro
We introduce Markov Random Geometric Graphs (MRGGs), a growth model for temporal dynamic networks. It is based on a Markovian latent space dynamic: consecutive latent points are sa…