Preprint Open access
Inverse Cross-spectral Neural Networks for Multivariate Time Series
CoVariance Neural Networks and their extensions have emerged as effective tools for processing multivariate data, deriving graph shift operators directly from second-order statistics. These architectures, however, are designed for independent and identically distributed observations and do not fully capture the joint s …