Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling 事件

Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling arXiv:2605.30376v1 Announce Type: cross Abstract: Modern time series architectures face a fundamental trade-off: channel-independent models scale well with increasing data volume but ignore critical inter-channel dependencies, while channel-dependent models are expressive but remain ``dimension-bounded'', struggling to generalize across heterogeneous datasets.To bridge this gap, we introduce Unicorn (Un