MIDI-RAE-JEPA Enhances Music Agent Comprehension

A new preprint paper introduces MIDI-RAE-JEPA, a hierarchical self-supervised world model for symbolic music. Utilizing a Swin-Transformer architecture, it enhances music co-creation agents' comprehension without requiring reconstruction loss.

2026-08-06 ~ 2026-08-06 · 3 related posts

• Helping Music Agents 'Listen' Well: Hierarchical Self-Supervised World Models — drscotthawley · 2026-08-06
• MIDI-RAE-JEPA: Hierarchical Representation Learning for Symbolic Music — drscotthawley · 2026-08-06
• Hierarchical Self-Supervised World Models Enhance Music Co-Creation Agents — drscotthawley · 2026-08-06