Percolation Dynamics in Optimization: Variance Cascades and Nested Symmetry
cs.LG, cond-mat.dis-nn, cond-mat.stat-mech, cs.AI
Submitted: 2026-09-02
Updated: 2026-09-27
Terminology
Sources
- Anomalous diffusion dynamics of learning in deep neural networks
- Dropout Neural Network Training Viewed from a Percolation Perspective
- An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
- Scaling Laws for Neural Language Models
- Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics
- Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
- The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon
- Phase Diagram of Initial Condensation for Two-layer Neural Networks
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