Synthetic motors that consume chemical energy to produce mechanical work offer potential applications in many fields that span from computing to drug delivery and diagnostics. Among the various ...

This study aims to address the challenges of financial price prediction in high-frequency trading (HFT) by introducing a novel continual learning framework based on factor predictors via graph neural ...

In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters. Specifically ...