04:00
2026-07-08
arxiv.org
machine-learning
Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests
Researchers proposed a controllability-observability framework for compressing deep neural networks by viewing them as nonlinear dynamical systems. The method achieved up to 83% parameter compression …