Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning

📰 ArXiv cs.AI

Mousse rectifies Muon's geometry with curvature-aware preconditioning for better Deep Neural Network training

advanced Published 2 Apr 2026
Action Steps
  1. Identify the limitations of Muon's isotropic optimization landscape assumption
  2. Apply curvature-aware preconditioning to rectify the geometry of Muon
  3. Implement Mousse to constrain update steps to the Stiefel manifold with curvature-aware preconditioning
  4. Evaluate the performance of Mousse on Deep Neural Networks compared to Muon
Who Needs to Know This

ML researchers and engineers working on Deep Neural Networks can benefit from Mousse to improve training efficiency and generalization, as it addresses the limitations of Muon's isotropic optimization landscape assumption

Key Insight

💡 Curvature-aware preconditioning can significantly improve the training efficiency and generalization of Deep Neural Networks by rectifying the geometry of Muon

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🚀 Mousse improves Muon with curvature-aware preconditioning for better DNN training!
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