2 papers
cs.LG2025
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…
cs.LG2025
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti, Enver Sangineto, Simone Luetto +2
Tabular data generation has recently attracted a growing interest due to its different application scenarios. However, generating time series of tabular data, where each element of…