Criticality in Neural Network Function Space through Wilsonian Fixed Points and Finite-Width Corrections
Neural networks can be studied not only as parameterized computational models but also as probability distributions over functions. In this paper we develop a Wilsonian interpretation of criticality in the neural network-quantum field theory correspondence, treating the infinite width Gaussian-process limit as a free f...