Most neural architectures admit a GSVD representation making the nonlinear portion left-invertible and norm-preserving before the final linear layer.
Applying this formula independently over several fixed groups covers LayerNorm and the same epsilon-stabilized groupwise normalization pattern
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Generalized Singular Value Theory for Neural Networks
Most neural architectures admit a GSVD representation making the nonlinear portion left-invertible and norm-preserving before the final linear layer.