Academic

Academic

Academic · 1 min

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series

arXiv:2604.05064v1 Announce Type: new Abstract: Synthetic data is essential for training foundation models for time series (FMTS), but most generators assume static correlations, and are …

Annita Vapsi, Penghang Liu, Saheed Obitayo, Aakriti, Manoj Cherukumalli, Prathamesh Patil, Amit Varshney, Nicolas Marchesotti, Elizabeth Fons, Vamsi K. Potluru, Manuela Veloso
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Academic · 1 min

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model

arXiv:2604.05335v1 Announce Type: new Abstract: Achieving resilient and high-quality manufacturing requires reliable data-driven anomaly detection methods that are capable of addressing differences in behaviors among …

Yangmeng Li, Kei Sano, Toshihiro Kitao, Ryoji Anzaki, Yukiya Saitoh, Hironori Moki, Dragan Djurdjanovic
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