Using Fourier basis expansion to build time-frequency features improves long-term and short-term time series forecasting across linear, MLP, and transformer backbones.
Dilated recurrent neural networks,
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Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
Using Fourier basis expansion to build time-frequency features improves long-term and short-term time series forecasting across linear, MLP, and transformer backbones.