Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group. - Johanna Erdmenger; Kevin T. Grosvenor; Ro Jefferson (CoRR, 2021)

The edge of chaos: quantum field theory and deep neural networks. - Kevin T. Grosvenor; Ro Jefferson (CoRR, 2021)

Criticality versus uniformity in deep neural networks. - Aleksandar Bukva; Jurriaan de Gier; Kevin T. Grosvenor; Ro Jefferson; Koenraad Schalm; Eliot Schwander (CoRR, 2023)

Wilsonian Renormalization of Neural Network Gaussian Processes. - Jessica N. Howard; Ro Jefferson; Anindita Maiti; Zohar Ringel (CoRR, 2024)

Opening the Black Box: predicting the trainability of deep neural networks with reconstruction entropy. - Yanick Thurn; Ro Jefferson; Johanna Erdmenger (CoRR, 2024)

Predictive Coding Networks and Inference Learning: Tutorial and Survey. - Björn E. Van Zwol; Ro Jefferson; Egon L. van den Broek (CoRR, 2024)