TimePre unifies MLP speed and MCL distributional power via Stabilized Instance Normalization to deliver SOTA probabilistic accuracy, orders-of-magnitude faster inference, and improved stability over prior MCL methods.
Li, Sheng Wang, Jiheng Zhang, Ziyun Li, and Tianlong Chen
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TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting
TimePre unifies MLP speed and MCL distributional power via Stabilized Instance Normalization to deliver SOTA probabilistic accuracy, orders-of-magnitude faster inference, and improved stability over prior MCL methods.