Abstract: The main focus of this work is to discover naturally occurring clusters in behavioral time series, and then associate a numerical representation with every cluster, which could be used to ...

Abstract: Federated learning (FL) offers a decentralized approach to training machine learning models, allowing data to remain on local devices and preserving privacy. However, the decentralized ...

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.