City Research Online

Items where Author is "He, Y-H."

Up a level
Group by: Type | No Grouping
Number of items: 26.

Article

He, Y-H. ORCID: 0000-0002-0787-8380, Lee, K-H. & Oliver, T. (2023). Machine Learning Invariants of Arithmetic Curves. Journal of Symbolic Computation, 115, pp. 478-491. doi: 10.1016/j.jsc.2022.08.017

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 & Zahabi, A. (2022). Crystal melting, BPS quivers and plethystics. Journal of High Energy Physics (JHEP), 2022(6), article number 16. doi: 10.1007/jhep06(2022)016

Bao, J. ORCID: 0000-0002-9583-1696, He, Y-H. ORCID: 0000-0002-0787-8380 & Zahabi, A. (2022). Mahler Measure for a Quiver Symphony. Communications in Mathematical Physics, 394(2), pp. 573-624. doi: 10.1007/s00220-022-04404-y

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

Deen, R., He, Y-H. ORCID: 0000-0002-0787-8380, Lee, S-J. & Lukas, A. (2022). Machine learning string standard models. Physical Review D (PRD), 105(4), article number 046001. doi: 10.1103/physrevd.105.046001

de Mello Koch, R., He, Y-H. ORCID: 0000-0002-0787-8380, Kemp, G. & Ramgoolam, S. (2022). Integrality, duality and finiteness in combinatoric topological strings. Journal of High Energy Physics, 2022(1), article number 71. doi: 10.1007/jhep01(2022)071

He, Y-H. ORCID: 0000-0002-0787-8380, Lee, K. H. & Oliver, T. (2021). Machine-learning the Sato–Tate conjecture. Journal of Symbolic Computation, 111, pp. 61-72. doi: 10.1016/j.jsc.2021.11.002

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

Dechant, P-P. & He, Y-H. ORCID: 0000-0002-0787-8380 (2021). Machine-learning a virus assembly fitness landscape. PLoS One, 16(5), doi: 10.1371/journal.pone.0250227

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

Xiao, Y., He, Y-H. ORCID: 0000-0002-0787-8380 & Matti, C. (2019). Standard model plethystics. Physical Review D, 100(7), article number 076001. doi: 10.1103/physrevd.100.076001

He, Y-H. ORCID: 0000-0002-0787-8380, Jejjala, V., Pontiggia, L. , Xiao, Y. & Zhou, D. (2019). Flatness of minima in random inflationary landscapes. International Journal of Modern Physics A, 34(17), article number 1950084. doi: 10.1142/s0217751x19500842

Child, C. H. T. ORCID: 0000-0001-5425-2308, Osudin, D. & He, Y-H. ORCID: 0000-0002-0787-8380 (2019). Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. Computational Science – ICCS 2019, 19th International Conference, Proceedings, Part V, 11540, pp. 543-550. doi: 10.1007/978-3-030-22750-0_49

He, Y-H. ORCID: 0000-0002-0787-8380, Seong, R-K. & Yau, S-T. (2018). Calabi-Yau Volumes and Reflexive Polytopes. Communications in Mathematical Physics, 361(1), pp. 155-204. doi: 10.1007/s00220-018-3128-6

He, Y-H. ORCID: 0000-0002-0787-8380, Huang, Z., Probst, M. & Read, J. (2018). Yang-Mills theory and the ABC conjecture. International Journal of Modern Physics A, 33(13), article number 1850053. doi: 10.1142/s0217751x18500537

Bond, R. L., He, Y-H. ORCID: 0000-0002-0787-8380 & Ormerod, T. C. (2018). A quantum framework for likelihood ratios. International Journal of Quantum Information, 16(01), article number 1850002. doi: 10.1142/s0219749918500028

He, Y-H., Jejjala, V. & Pontiggia, L. (2017). Patterns in Calabi-Yau Distributions. Communications in Mathematical Physics, 354(2), pp. 477-524. doi: 10.1007/s00220-017-2907-9

Franco, S., He, Y-H., Sun, C. & Xiao, Y. (2017). A comprehensive survey of brane tilings. International Journal of Modern Physics A, 32(23n24), article number 1750142. doi: 10.1142/s0217751x17501421

He, Y-H. & McKay, J.M. (2017). Moonshine and the Meaning of Life. Contemporary Mathematics, 694, pp. 1-2. doi: 10.1090/conm/694/13956

He, Y-H. ORCID: 0000-0002-0787-8380, Jejjala, V. & Minic, D. (2010). On the Physics of the Riemann Zeros. Journal of Physics: Conference Series, 462(1), article number 012036. doi: 10.1088/1742-6596/462/1/012036

Conference or Workshop Item

He, Y-H. ORCID: 0000-0002-0787-8380 (2023). From the String Landscape to the Mathematical Landscape: A Machine-Learning Outlook. In: Lie Theory and Its Applications in Physics. International Workshop on Lie Theory and Its Applications in Physics, 20-26 Jun 2021, Sofia, Bulgaria. doi: 10.1007/978-981-19-4751-3_2

Other

Alessandretti, L., Baronchelli, A. ORCID: 0000-0002-0255-0829 & He, Y-H. (2019). Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer.

This list was generated on Wed Dec 25 03:40:01 2024 UTC.