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

Simone Luetto, Fabrizio Garuti, Enver Sangineto +2

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…