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This work proposes channel-preserving representation alignment, separating electrode information retention from prediction regularization, and improves within-subject 50-way identification and generated-audio CLAP similarity on NMED-T/H.
Muon-C is introduced, an operator-aligned optimizer that represents kernel momentum as frequency-wise channel-transfer matrices, polarizes these blocks independently, and uses a critical Fourier grid to return updates exactly to the original finite kernel support.
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