VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting 事件

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting arXiv:2606.02138v1 Announce Type: cross Abstract: Out of distribution (OOD) events in multivariate time series forecasting are rare but often dominate real world risk, making average case forecasting insufficient for reliable deployment. Under standard average risk training on mixed ID/OOD distributions, optimization signals from rare OOD events can be overwhelmed by frequent in distribution (ID) pattern