Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests
DGX agentarXiv:2607.05457v1 Announce Type: cross Abstract: Deep neural networks often contain substantial hidden-state redundancy, but most compression methods operate directly on weights, neurons, or quantise