Author

Mingyang Yao

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Preprint Jul 2026

ARIMA: Reconstruction-Grounded Predictive Representation Learning for Symbolic Music

Results show that ARIMA is particularly efficient and effective on tasks involving harmonic, timing, and cross-performance retrieval, while remaining competitive with much larger baselines on other tasks.

Mingyang Yao, Zhaoxiang Feng · 1 citation