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Latent Inference-Time Guidance of Time Series Foundation Models

Hashimoto-Cullen, Chloé et al.
arXiv (All) · Papers
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methodology
Time Series Foundation Models (TSFMs) currently provide state-of-the-art results in forecasting tasks. They are available out-of-the-box and rely on in-context learning to make their predictions, which makes the quality of their performance highly sensitive to the user-selected lookback, covariates,
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