arXiv cs.AI
· Papers
A Nonlinear Singular Value Theory for Neural Networks
arXiv:2605.06938v2 Announce Type: replace-cross Abstract: Recently Brown et al. [2025] established a singular value decomposition (SVD) for maps (especially nonlinear) satisfying certain norm conditions. We prove that most modern neural architectures admit this nonlinear SVD (NLSVD) representation---with no change in i