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Distillation of Synthetic Data for Time Series Foundation Models

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09586v1 Announce Type: new Abstract: Time series foundation models (TSFMs) are increasingly pre-trained on synthetically generated time series trajectories, where the data generating process is known. Current pre-training recipes are based on loss objectives which compare TSFM outputs to…

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  1. 2026-09-10 04:00 · arXiv stat.ML
    Distillation of Synthetic Data for Time Series Foundation Models

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