ChorusTIC is a classification-native foundation model for training-free univariate and multivariate time series classification. It uses labeled context examples to predict query labels without fitting a target-specific classifier or updating model parameters. ChorusTIC is evaluated in the TSC-FM time series classification foundation model benchmark. Use the time series classification leaderboard to compare matching Standard and low-shot settings, and read the evaluation protocol before interpreting aggregate accuracy, rank and coverage. ChorusTIC combines Random Subchannel Slot Concatenation with a shared dual-axis encoder to model temporal and cross-channel interactions across…
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