Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation
arXiv:2605.08914v1 Announce Type: cross
Abstract: This paper introduces a framework specifically designed for sparse and irregular time series {risk estimation}. It is based on a Transformer Autoencoder with local attention, which leverages the powerf…