paper

Neural Network Symmetrisation in Concrete Settings

arXiv:2412.09469

Abstract

Cornish (2024) recently gave a general theory of neural network symmetrisation in the abstract context of Markov categories. We give a high-level overview of these results, and their concrete implications for the symmetrisation of deterministic functions and of Markov kernels.

Neural Network Symmetrisation in Concrete Settings · wovepaper