sharpness-aware-minimization-and-muon-robustness-under-the-spectral-norm-a6c2293d·1 events·first seen Aliases: Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm
A new arXiv preprint introduces a matrix-aware variant of Sharpness-Aware Minimization (SAM) that uses a layerwise spectral inner perturbation for hidden-layer weights, combined with either AdamW/SGDW or the Muon optimizer for the outer update. Experiments on ImageNet-1K with ViT-Small/16 and ResNet-50 show the spectral SAM + Muon combination achieves the best validation accuracy among evaluated methods. The work connects the recently popular Muon optimizer's matrix-structure philosophy to the SAM generalization framework.