PAMod models cyclical distribution shifts in non-stationary time series via phase-amplitude modulation in normalized space, proving equivalence to dynamic denormalization and achieving SOTA on twelve benchmarks.
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PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
PAMod models cyclical distribution shifts in non-stationary time series via phase-amplitude modulation in normalized space, proving equivalence to dynamic denormalization and achieving SOTA on twelve benchmarks.