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Btissame El Mahtout

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#machine learning May 2026

Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration

We propose a novel Mixture-of-Experts framework, referred to as Expert Loss Integration MoE (EliMoE), for time series forecasting. EliMoE addresses the optimization problem arising from small gating weights by incorporating expert-specific losses, which provide each expert with a direct learning signal independent of t...

Btissame El Mahtout, F. Ziel · arXiv.org · 0 citations