works on
asymptotic expansions 1combinatorial enumeration 1critical dimensions 1gauge invariant counting 1Hagedorn transition 1matrix models 1

From the 1 of 14 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Approximate Gaussianity Beyond Initialisation in Neural Networks

Edward Hirst, Sanjaye Ramgoolam

Ensembles of neural network weight matrices are studied through the training process for the MNIST classification problem, testing the efficacy of matrix models for representing th…