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RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
Real-world time series exhibit complex dynamics characterized by multiple simultaneous temporal patterns: short-term fluctuations, periodic seasonal cycles, long-term trends, and irregular abrupt changes. However, most forecasting architectures rely on single-path temporal modeling---transformers ca
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