SOURCE-LINKED INTELLIGENCE
ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning
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
- arXiv · AI, language, vision and robotics · 2026-08-25T03:45:24.000Z
First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.