Learning 3-Manifold Triangulations

1 code implementation • 15 May 2024 • Francesco Costantino, Yang-Hui He, Elli Heyes, Edward Hirst

Real 3-manifold triangulations can be uniquely represented by isomorphism signatures.

Machine Learning Clifford invariants of ADE Coxeter elements

1 code implementation • 29 Sep 2023 • Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko

This provides the perfect setup for machine learning, and indeed we see that the datasets can be machine learned to very high accuracy.

Machine Learning Algebraic Geometry for Physics

no code implementations • 21 Apr 2022 • Jiakang Bao, Yang-Hui He, Elli Heyes, Edward Hirst

We review some recent applications of machine learning to algebraic geometry and physics.

BIG-bench Machine Learning

Cluster Algebras: Network Science and Machine Learning

1 code implementation • 25 Mar 2022 • Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst

Network analysis methods are applied to the exchange graphs for cluster algebras of varying mutation types.

Graph Embedding