Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
TL;DR: We propose Moirai-MoE, the first mixture-of-experts time series foundation model, achieving token-level model specialization in a data-driven manner. Extensive experiments on 39 datasets reveal that Moirai-MoE delivers up to 17% performance improvements over Moirai at the same level of model size and outperforms other time series foundation models, such as Chronos (from Amazon) and […]
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