Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
arXiv:2605.06310v1 Announce Type: new
Abstract: Local temporal patterns in real-world time series continuously shift, rendering globally shared transformations suboptimal. Current deep forecasting models, despite their scale and complexity, rely on fi…