📡 RSS: Optimal Pruning for Neural Architectures using Fisher Information Distances — arXiv:2609.16129v1 Announce Type: new Abstract: A new scheme for parameter pruning is introduced, derived from the differential-geometric distance in model space. Pruning a parameter sets its value to zero, representing a displacement of the model to the hypersurface on which that parameter vanishe

Created: 9/16/2026, 4:10:40 AM · Connections: 0