MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting.

arXiv:2610.06039v1 Announce Type: cross Abstract: Recent work has shown that probabilistic flow matching for time series forecasting benefits from a data-matched prior. The resulting prior introduces local correlations, which a sequential architecture usually