arXiv (OAI Expanded)
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Distillation of Synthetic Data for Time Series Foundation Models
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 realized future values of each trajectory. We in
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