New Calabi-Yau Manifolds from Genetic Algorithms P Berglund, YH He, E Heyes, E Hirst, V Jejjala, A Lukas arXiv preprint arXiv:2306.06159, 2023 | 16 | 2023 |
Brain webs for brane webs G Arias-Tamargo, YH He, E Heyes, E Hirst, D Rodriguez-Gomez Physics Letters B 833, 137376, 2022 | 16 | 2022 |
Machine Learning in Physics and Geometry YH He, E Heyes, E Hirst arXiv preprint arXiv:2303.12626, 2023 | 12 | 2023 |
Machine Learning Algebraic Geometry for Physics J Bao, YH He, E Heyes, E Hirst arXiv preprint arXiv:2204.10334, 2022 | 12 | 2022 |
Cluster Algebras: Network Science and Machine Learning PP Dechant, YH He, E Heyes, E Hirst Journal of Computational Algebra, 100008, 2023 | 9 | 2023 |
Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces A Ashmore, YH He, E Heyes, BA Ovrut arXiv preprint arXiv:2305.08901, 2023 | 8 | 2023 |
Clustering Cluster Algebras with Clusters MW Cheung, PP Dechant, YH He, E Heyes, E Hirst, JR Li arXiv preprint arXiv:2212.09771, 2022 | 7 | 2022 |
Machine-learning Sasakian and topology on contact Calabi-Yau -manifolds D Aggarwal, YH He, E Heyes, E Hirst, HNS Earp, TSR Silva arXiv preprint arXiv:2310.03064, 2023 | 6 | 2023 |
Machine Learning Clifford invariants of ADE Coxeter elements S Chen, PP Dechant, YH He, E Heyes, E Hirst, D Riabchenko arXiv preprint arXiv:2310.00041, 2023 | 3 | 2023 |