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2020 – today
- 2024
[j17]Yang-Hui He, Thomas Oliver, Alexander M. Kasprzyk:
Editorial Note. Int. J. Data Sci. Math. Sci. 2(1): 1-2 (2024)- [c2]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Topological data analysis on noisy quantum computers. ICLR 2024 - [i19]Yang-Hui He:
A Triumvirate of AI Driven Theoretical Discovery. CoRR abs/2405.19973 (2024) - 2023
- [j16]Yang-Hui He, Vishnu Jejjala, Brent D. Nelson, Hal Schenck, Michael Eugene Stillman:
MSSM: A Macaulay2 Package for the Vacuum Moduli Space. ACM Commun. Comput. Algebra 57(2): 39-42 (2023) - [j15]Yang-Hui He:
Editorial Note. Int. J. Data Sci. Math. Sci. 1(1): 1-2 (2023) - [j14]Yang-Hui He, Minhyong Kim:
Learning algebraic structures: Preliminary investigations. Int. J. Data Sci. Math. Sci. 1(1): 3-22 (2023) - [j13]Yang-Hui He
:
Machine-learning mathematical structures. Int. J. Data Sci. Math. Sci. 1(1): 23-47 (2023) - [j12]Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut:
Calabi-Yau metrics, energy functionals and machine learning. Int. J. Data Sci. Math. Sci. 1(1): 49-61 (2023) - [j11]Yang-Hui He:
A visualization of the classical musical tradition. Int. J. Data Sci. Math. Sci. 1(1): 63-69 (2023) - [j10]Heng-Yu Chen, Yang-Hui He, Shailesh Lal, M. Zaid Zaz:
Machine learning etudes in conformal field theories. Int. J. Data Sci. Math. Sci. 1(1): 71-104 (2023) - [j9]Yang-Hui He:
Editorial Note. Int. J. Data Sci. Math. Sci. 1(2): 105 (2023) - [j8]Malik Amir, Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Eldar Sultanow:
Machine learning class numbers of real quadratic fields. Int. J. Data Sci. Math. Sci. 1(2): 107-134 (2023) - [j7]Jiakang Bao, Yang-Hui He, Edward Hirst, Johannes Hofscheier, Alexander M. Kasprzyk, Suvajit Majumder:
Polytopes and machine learning. Int. J. Data Sci. Math. Sci. 1(2): 181-211 (2023) - [j6]Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver:
Machine learning invariants of arithmetic curves. J. Symb. Comput. 115: 478-491 (2023) - [j5]Jiakang Bao, Yang-Hui He, Edward Hirst:
Neurons on amoebae. J. Symb. Comput. 116: 1-38 (2023) - [j4]Jonathan D. Hauenstein, Yang-Hui He, Ilias S. Kotsireas, Dhagash Mehta, Tingting Tang:
Special issue on Algebraic Geometry and Machine Learning. J. Symb. Comput. 118: 93-94 (2023) - [i18]Anthony Ashmore, Yang-Hui He, Elli Heyes, Burt A. Ovrut:
Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces. CoRR abs/2305.08901 (2023) - [i17]Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko:
Machine Learning Clifford invariants of ADE Coxeter elements. CoRR abs/2310.00041 (2023) - [i16]Yang-Hui He, Vishnu Jejjala, Challenger Mishra, Max Sharnoff:
Learning to be Simple. CoRR abs/2312.05299 (2023) - 2022
- [j3]Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver:
Machine-learning the Sato-Tate conjecture. J. Symb. Comput. 111: 61-72 (2022) - [i15]Yang-Hui He, Juan Manuel Pérez Ipiña:
Machine-Learning the Classification of Spacetimes. CoRR abs/2201.01644 (2022) - [i14]Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru:
Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR abs/2201.11510 (2022) - [i13]Yang-Hui He:
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook. CoRR abs/2202.06086 (2022) - [i12]Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst:
Cluster Algebras: Network Science and Machine Learning. CoRR abs/2203.13847 (2022) - [i11]Malik Amir, Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Eldar Sultanow:
Machine Learning Class Numbers of Real Quadratic Fields. CoRR abs/2209.09283 (2022) - [i10]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Towards Quantum Advantage on Noisy Quantum Computers. CoRR abs/2209.09371 (2022) - 2021
- [i9]Yang-Hui He:
Machine-Learning Mathematical Structures. CoRR abs/2101.06317 (2021) - [i8]Jiakang Bao, Yang-Hui He, Edward Hirst:
Neurons on Amoebae. CoRR abs/2106.03695 (2021) - [i7]Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut:
Calabi-Yau Metrics, Energy Functionals and Machine-Learning. CoRR abs/2112.10872 (2021) - 2020
- [i6]Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder:
Machine Learning Lie Structures & Applications to Physics. CoRR abs/2011.00871 (2020)
2010 – 2019
- 2019
- [c1]Daniil Osudin, Chris Child, Yang-Hui He:
Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. ICCS (5) 2019: 543-550 - [i5]Pierre-Philippe Dechant, Yang-Hui He:
Machine-learning a virus assembly fitness landscape. CoRR abs/1901.05051 (2019) - [i4]Yang-Hui He, Minhyong Kim:
Learning Algebraic Structures: Preliminary Investigations. CoRR abs/1905.02263 (2019) - [i3]Daniil Osudin, Christopher Child, Yang-Hui He:
Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. CoRR abs/1908.01742 (2019) - [i2]Laura Alessandretti, Andrea Baronchelli, Yang-Hui He:
Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. CoRR abs/1911.02008 (2019) - 2018
- [i1]Yang-Hui He, Vishnu Jejjala, Brent D. Nelson:
hep-th. CoRR abs/1807.00735 (2018) - 2013
- [j2]Yang-Hui He, John McKay, James Read:
Modular subgroups, dessins d'enfants and elliptic K3 surfaces. LMS J. Comput. Math. 16: 271-318 (2013)
2000 – 2009
- 2009
- [j1]James Gray, Yang-Hui He, Anton Ilderton, André Lukas:
STRINGVACUA. A Mathematica package for studying vacuum configurations in string phenomenology. Comput. Phys. Commun. 180(1): 107-119 (2009)
Coauthor Index
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last updated on 2024-09-07 01:01 CEST by the dblp team
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