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#convnets

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papersSEP 10 04:00 UTC

Muon-C: Adapting the Muon Optimizer to Convolutional Kernels via Operator Alignment

A new arXiv paper presents Muon-C, a variant of the Muon optimizer designed specifically for convolutional layers. The authors argue that applying Muon through standard matrix unfolding misrepresents the geometry of convolution, since it describes a local patch mapping rather than the convolution operator itself. Their approach instead computes the orthogonalized update direction in a way that aligns with the operator's true structure.

optimizers/deep-learning/convnets/training