Network Topology Predicts Pruning Success: What Neural Curvature Reveals

According to "Analyzing Neural Network Information Flow Using Differential Geometry" by Shuhang Tan, Jayson Sia, Paul Bogdan, and Radoslav Ivanov, network topology based on geometric curvature predicts which connections are critical versus redundant. This means we can prune our models more intelligently by understanding information flow structure, not just weight magnitudes.