2026
FeTS: A Feature-Aware Framework for Time Series Forecasting
AAAI 2026technical
Time series forecasting faces a fundamental challenge: the uneven distribution of predictive importance in time series data, where some specific time points and feature combinations carry disproportionately predictive power. As a result, uniform processing methods that treat all data alike inevitabl