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Department of Chemistry
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Chord recovery accuracy jumps from 18% to 54% with minimal supervision, showcasing a new frontier in music co-creation agents.
Equivariance-based self-supervised learning can unlock semantically rich representations in symbolic music that outperform traditional methods by a wide margin.
