2 papers
cs.LG2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems
Sean Gunn, Jorio Cocola, Paul Hand
Generative Adversarial Networks (GANs) have been shown to be powerful and flexible priors when solving inverse problems. One challenge of using them is overcoming representation er…
cs.NE2018
State Space Representations of Deep Neural Networks
Michael Hauser, Sean Gunn, Samer Saab +1
This paper deals with neural networks as dynamical systems governed by differential or difference equations. It shows that the introduction of skip connections into network archite…