AI RESEARCH
AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
arXiv CS.AI
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ArXi:2604.23239v1 Announce Type: new Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependencies and dynamic periodic patterns. Recent advances in frequency-domain analysis offer a global perspective for uncovering temporal characteristics. However, real-world time series often exhibit pronounced cross-domain heterogeneity where variables that appear synchronized in the time domain can differ substantially in the frequency domain.