Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training | ScienceToStartup | ScienceToStartup

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References (26)

[1]

Preconditioning Benefits of Spectral Orthogonalization in Muon

2026Jianhao Ma, Yu Huang et al.

[2]

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime

2026Shuai Jiang, Alexey Voronin et al.

[3]

Turbo-Muon: Accelerating Orthogonality-Based Optimization with Pre-Conditioning

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"MUD optimizes transformer training by enhancing momentum updates for faster convergence."

Optimizer Improvements•Score: 7•View PDF ↗

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Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training

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References (26)

Founder's Pitch

"MUD optimizes transformer training by enhancing momentum updates for faster convergence."

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Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training

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References (26)

Founder's Pitch

"MUD optimizes transformer training by enhancing momentum updates for faster convergence."

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