AOSNET is a Hilbert-guided framework that performs adaptive oscillatory-state alignment to a learnable prior for improved long-term forecasting under non-stationary conditions.
Multi-Period Learning for Financial Time Series Forecasting,
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Adaptive Oscillatory-State Alignment for Time Series Forecasting
AOSNET is a Hilbert-guided framework that performs adaptive oscillatory-state alignment to a learnable prior for improved long-term forecasting under non-stationary conditions.