Cluster Algebras: Network Science and Machine Learning. - Pierre-Philippe Dechant; Yang-Hui He; Elli Heyes; Edward Hirst (CoRR, 2022)

Machine Learning Clifford invariants of ADE Coxeter elements. - Siqi Chen; Pierre-Philippe Dechant; Yang-Hui He; Elli Heyes; Edward Hirst; Dmitrii Riabchenko (CoRR, 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)

Neurons on amoebae. - Jiakang Bao; Yang-Hui He; Edward Hirst (J. Symb. Comput., 2023)

Machine-learning and data science techniques in string and gauge theories. - Edward Hirst (2023)

Machine Learning Mutation-Acyclicity of Quivers. - Kymani T. K. Armstrong-Williams; Edward Hirst; Blake Jackson; Kyu-Hwan Lee (CoRR, 2024)

Calabi-Yau links and machine learning. - Edward Hirst (Int. J. Data Sci. Math. Sci., 2024)

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, 2025)