Large-step GD in deep linear multi-pathway networks drives re-balancing of signals across pathways via edge-of-stability oscillations after early depth-driven symmetry breaking.
Information and Inference: A Journal of the IMA , volume =
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
-
Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
Large-step GD in deep linear multi-pathway networks drives re-balancing of signals across pathways via edge-of-stability oscillations after early depth-driven symmetry breaking.