arXiv Machine Learning August 11, 2026 By Junwei Deng, Chang Xu, Jiaqi W. Ma, Ming Jin, Chenghao Liu, Xu Zhang, Li Zhao, Jiang Bian

OATS: Online Data Augmentation for Time Series Foundation Models

Read the original on arXiv Machine Learning →

arXiv:2601. 19040v2 Announce Type: replace Abstract: Time Series Foundation Models (TSFMs) are a powerful paradigm for time series analysis and are often enhanced by synthetic data augmentation to improve the training data quality.

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