Ronald Katende

Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models

2024 · arXiv (Cornell University)

This manuscript presents a novel framework that integrates higher-order symmetries and category theory into machine learning. We introduce new mathematical constructs, including hyper-symmetry categories and functorial representations, to model complex transformations within learning algorithms. Our …