One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data

no code implementations • 13 Feb 2023 • Simone Luetto, Fabrizio Garuti, Enver Sangineto, Lorenzo Forni, Rita Cucchiara

There is a recent growing interest in applying Deep Learning techniques to tabular data, in order to replicate the success of other Artificial Intelligence areas in this structured domain.

Time Series Time Series Analysis