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Muon Learns Facts Better: Understanding the Role of Spectral Orthogonalization

The Muon optimizer applies spectral orthogonalization to matrix-valued updates and has shown strong performance in large-scale neural network training, yet the mechanisms of this transformation in feature learning remain poorly understood.

By Xuheng Li, Qiwei Di, Yuan Cao, Quanquan GuarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 5, 2026.

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