Linjiang Zheng

SMLDR: Spectral Memory Learner with Dual-Retrieval for Time Series Forecasting

Time series forecasting aims to predict future values using historical observations, which is crucial for many practical applications with complex temporal dynamics. Recent frequency-domain forecasting methods have utilized spectral representations to model periodicity, but they usually rely on an i