Edward Hirst

According to our database, Edward Hirst authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Grokking vs. Learning: Same Features, Different Encodings.

Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G. Stapleton, Edward Hirst, Giuseppe De Tomasi, Barry Bradlyn, David S. Berman

CoRR, February, 2025

2024

Calabi-Yau links and machine learning.

Edward Hirst

Int. J. Data Sci. Math. Sci., 2024

Machine Learning Mutation-Acyclicity of Quivers.

Kymani T. K. Armstrong-Williams, Edward Hirst, Blake Jackson, Kyu-Hwan Lee

CoRR, 2024

2023

Machine-learning and data science techniques in string and gauge theories.

Edward Hirst

PhD thesis, 2023

Neurons on amoebae.

Jiakang Bao, Yang-Hui He, Edward Hirst

J. Symb. Comput., 2023

Polytopes and machine learning.

Jiakang Bao, Yang-Hui He, Edward Hirst, Johannes Hofscheier, Alexander M. Kasprzyk, Suvajit Majumder

Int. J. Data Sci. Math. Sci., 2023

Machine Learning Clifford invariants of ADE Coxeter elements.

Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko

CoRR, 2023

2022

Cluster Algebras: Network Science and Machine Learning.

Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst

CoRR, 2022