We introduce $\mu$PC, a reparameterisation of predictive coding networks that enables stable training of 100+ layer ResNets on simple tasks with hyperparameter transfer.

LLMs misuse key Multi-agent system concepts; we call for aligning them more closely with foundational Multi-agent theory.

We mathematically model the evolution of the NTK in a fully deep neural network trained to represent natural images.