AI RESEARCH
Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
arXiv CS.LG
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ArXi:2605.10330v1 Announce Type: cross We propose a novel adaptive Mixture-of-Experts (MoE) framework for time series forecasting that enhances expert specialization by incorporating expert-specific loss information directly into the