Percolation Dynamics in Optimization: Variance Cascades and Nested Symmetry.

arXiv:2609.02373v2 Announce Type: replace-cross Abstract: We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks toward invariant sets that correspond to simpler subnetworks. How this steering unfolds over time