no code implementations • 12 Nov 2017 • Randall Balestriero, Vincent Roger, Herve G. Glotin, Richard G. Baraniuk
We exploit a recently derived inversion scheme for arbitrary deep neural networks to develop a new semi-supervised learning framework that applies to a wide range of systems and problems.