11 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
Learning to be Simple
Yang-Hui He, Vishnu Jejjala, Challenger Mishra +1
In this work we employ machine learning to understand structured mathematical data involving finite groups and derive a theorem about necessary properties of generators of finite s…
Machine learning Sasakian and topology on contact Calabi-Yau -manifolds
Daattavya Aggarwal, Yang-Hui He, Elli Heyes +3
We propose a machine learning approach to study topological quantities related to the Sasakian and -geometries of contact Calabi-Yau -manifolds. Specifically, we compute da…
Machine Learning Clifford invariants of ADE Coxeter elements
Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He +3
There has been recent interest in novel Clifford geometric invariants of linear transformations. This motivates the investigation of such invariants for a certain type of geometric…