Items where Author is "Hirst, E."
Article
Chen, S., Dechant, P. P., He, Y. H. , Heyes, E., Hirst, E. & Riabchenko, D. 
ORCID: 0009-0005-8099-8628 (2024).
Machine Learning Clifford invariants of ADE Coxeter elements.
Advances in Applied Clifford Algebras, 34(3),
article number 20.
doi: 10.1007/s00006-024-01325-y
Arias-Tamargo, G., He, Y-H. ORCID: 0000-0002-0787-8380, Heyes, E. , Hirst, E. ORCID: 0000-0003-1699-4399 & Rodriguez-Gomez, D. (2022).
Brain webs for brane webs.
Physics Letters B, 833,
article number 137376.
doi: 10.1016/j.physletb.2022.137376
Bao, J. ORCID: 0000-0002-9583-1696, He, Y-H. ORCID: 0000-0002-0787-8380, Hirst, E. ORCID: 0000-0003-1699-4399 , Hofscheier, J., Kasprzyk, A. & Majumder, S. (2022).
Hilbert Series, Machine Learning, and Applications to Physics.
Physics Letters B, 827,
article number 136966.
doi: 10.1016/j.physletb.2022.136966
Bao, J. ORCID: 0000-0002-9583-1696, Hanany, A., He, Y-H. ORCID: 0000-0002-0787-8380 & Hirst, E. ORCID: 0000-0003-1699-4399 (2022).
Some open questions in quiver gauge theory.
Proyecciones, 41(2),
pp. 355-386.
doi: 10.22199/issn.0717-6279-5274
Berman, D. S., He, Y-H. ORCID: 0000-0002-0787-8380 & Hirst, E. ORCID: 0000-0003-1699-4399 (2022).
Machine learning Calabi-Yau hypersurfaces.
Physical Review D, 105(6),
article number 066002.
doi: 10.1103/physrevd.105.066002
Bao, J., He, Y-H., Hirst, E. ORCID: 0000-0003-1699-4399 & Pietromonaco, S. (2021).
Lectures on the Calabi-Yau Landscape.
Fields Institute Monographs, 2293,
doi: 10.1007/978-3-030-77562-9
Bao, J. ORCID: 0000-0002-9583-1696, Foda, O., He, Y-H. ORCID: 0000-0002-0787-8380 , Hirst, E. ORCID: 0000-0003-1699-4399, Read, J., Xiao, Y. & Yagi, F. (2021).
Dessins d'enfants, Seiberg-Witten curves and conformal blocks.
Journal of High Energy Physics, 2021(5),
article number 65.
doi: 10.1007/jhep05(2021)065
Bao, J. ORCID: 0000-0002-9583-1696, Franco, S., He, Y-H. ORCID: 0000-0002-0787-8380 , Hirst, E. ORCID: 0000-0003-1699-4399, Musiker, G. & Xiao, Y. (2020).
Quiver mutations, Seiberg duality, and machine learning.
Physical Review D (PRD), 102(8),
article number 086013.
doi: 10.1103/physrevd.102.086013
Thesis
Hirst, E. (2023). Machine-Learning and Data Science Techniques in String and Gauge Theories. (Unpublished Doctoral thesis, City, University of London)