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ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Time series classification underpins applications in healthcare, sensing, and industrial monitoring. Although time series foundation models support forecasting and transferable representation learning, classification still typically requires fitting a task-specific classifier on each target dataset, while individual channels of multivariate inputs are often encoded independently. We introduce ChorusTIC, a classification-native foundation model for in-context classification across heterogeneous channel configurations without target-task parameter updates. ChorusTIC combines episode-consistent R

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Evidence & attribution

First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.