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Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

Feng, Kun et al.
arXiv (All) · Papers
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Inherent temporal heterogeneity, such as varying sampling densities and periodic structures, has posed substantial challenges in zero-shot generalization for Time Series Foundation Models (TSFMs). Existing TSFMs predominantly rely on massive parameterization to absorb such heterogeneity, as their st
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