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AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting

AME-TS guides sparse mixture-of-experts routing via temporal structure descriptors to improve forecasting accuracy and specialization stability with fewer activated parameters.

Rui Wang, Renhao Xue, Ray Razi, Huan Song and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5