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TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra
Real-world time series are inherently non-stationary, with trends, periodic patterns, and uncertainty evolving over time. While the Fourier domain offers a natural lens to model time series, current deep learning approaches do not explicitly model evolution and randomness in the Fourier spectra, whi
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