How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

In three linesComparative study of Muon vs Adam optimizers on equivariant neural networks (ModelNet40, molecular data). Muon consistently outperforms Adam. Hessian and spectral analysis shows Muon produces more regular loss surfaces and learned representations with higher effective rank.

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