Edward Hirst

13 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Machine Learning Approach to the Nirenberg Problem. CoRR Gianfranco Cortés, Maria Esteban-Casadevall, Yueqing Feng, Jonas Henkel, Edward Hirst, Tancredi Schettini Gherardini, Alexander G. Stapleton
2026	J	`jnl`	Neural and numerical methods for G CoRR Elli Heyes, Edward Hirst, Henrique N. Sá Earp, Tomás S. R. Silva
2026	J	`jnl`	Versor: A Geometric Sequence Architecture. CoRR Truong Minh Huy, Edward Hirst
2025	J	`jnl`	Approximate Gaussianity Beyond Initialisation in Neural Networks. CoRR Edward Hirst, Sanjaye Ramgoolam
2025	J	`jnl`	Grokking vs. Learning: Same Features, Different Encodings. CoRR Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G. Stapleton, Edward Hirst, Giuseppe De Tomasi, Barry Bradlyn, David S. Berman
2024	J	`jnl`	Calabi-Yau links and machine learning. Int. J. Data Sci. Math. Sci. Edward Hirst
2024	J	`jnl`	Machine Learning Mutation-Acyclicity of Quivers. CoRR Kymani T. K. Armstrong-Williams, Edward Hirst, Blake Jackson, Kyu-Hwan Lee
2023	J	`jnl`	Machine Learning Clifford invariants of ADE Coxeter elements. CoRR Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko
2023	—	`—`	Machine-learning and data science techniques in string and gauge theories. Edward Hirst
2023	J	`jnl`	Neurons on amoebae. J. Symb. Comput. Jiakang Bao, Yang-Hui He, Edward Hirst
2023	J	`jnl`	Polytopes and machine learning. Int. J. Data Sci. Math. Sci. Jiakang Bao, Yang-Hui He, Edward Hirst, Johannes Hofscheier, Alexander M. Kasprzyk, Suvajit Majumder
2022	J	`jnl`	Cluster Algebras: Network Science and Machine Learning. CoRR Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst
2021	J	`jnl`	Neurons on Amoebae. CoRR Jiakang Bao, Yang-Hui He, Edward Hirst