AIBullisharXiv – CS AI · 7h ago7/10
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FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
FreqLite is a new lightweight linear model for long-term time-series forecasting that uses frequency decomposition and adaptive normalization to achieve better accuracy than larger transformer models while requiring 4x fewer parameters and significantly less computational resources. The method introduces Adaptive Reversible Instance Normalization (A-RevIN) to handle non-stationary data more effectively than existing approaches.