Edward Hirst

According to our database, Edward Hirst authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

PINNs in More General Geometry.

Edward Hirst

CoRR, April, 2026

Minimising Willmore Energy via Neural Flow.

Edward Hirst, Henrique N. Sá Earp, Tomás S. R. Silva

CoRR, April, 2026

Neural and numerical methods for G₂-structures on contact Calabi-Yau 7-manifolds.

Elli Heyes, Edward Hirst, Henrique N. Sá Earp, Tomás S. R. Silva

CoRR, February, 2026

A Machine Learning Approach to the Nirenberg Problem.

Gianfranco Cortés, Maria Esteban-Casadevall, Yueqing Feng, Jonas Henkel, Edward Hirst, Tancredi Schettini Gherardini, Alexander G. Stapleton

CoRR, February, 2026

Versor: A Geometric Sequence Architecture.

Truong Minh Huy, Edward Hirst

CoRR, February, 2026

2025

Approximate Gaussianity Beyond Initialisation in Neural Networks.

Edward Hirst, Sanjaye Ramgoolam

CoRR, October, 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