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20232026
most citedTime Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2023

Interpretable time series neural representation for classification purposes

Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis +1

Deep learning has made significant advances in creating efficient representations of time series data by automatically identifying complex patterns. However, these approaches lack…

cs.LG2023★ 2 cited

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations

Etienne Le Naour, Louis Serrano, Léon Migus +5

We introduce a novel modeling approach for time series imputation and forecasting, tailored to address the challenges often encountered in real-world data, such as irregular sample…