Yang-Hui He

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 35

Top Topics

Algebraic Structures

Energy Functional

Machine Learning

Top Venues

Int. J. Data Sci. Math. Sci.

J. Symb. Comput.

Publications

Yang-Hui He
A Triumvirate of AI Driven Theoretical Discovery. CoRR (2024)
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)
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) (2023)
Jiakang Bao, Yang-Hui He, Edward Hirst
Neurons on amoebae. J. Symb. Comput. 116 (2023)
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) (2023)
Yang-Hui He
Editorial Note. Int. J. Data Sci. Math. Sci. 1 (1) (2023)
Yang-Hui He, Vishnu Jejjala, Challenger Mishra, Max Sharnoff
Learning to be Simple. CoRR (2023)
Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
Machine learning invariants of arithmetic curves. J. Symb. Comput. 115 (2023)
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) (2023)
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) (2023)
Anthony Ashmore, Yang-Hui He, Elli Heyes, Burt A. Ovrut
Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces. CoRR (2023)
Yang-Hui He
A visualization of the classical musical tradition. Int. J. Data Sci. Math. Sci. 1 (1) (2023)
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 (2023)
Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko
Machine Learning Clifford invariants of ADE Coxeter elements. CoRR (2023)
Yang-Hui He
Machine-learning mathematical structures. Int. J. Data Sci. Math. Sci. 1 (1) (2023)
Yang-Hui He, Minhyong Kim
Learning algebraic structures: Preliminary investigations. Int. J. Data Sci. Math. Sci. 1 (1) (2023)
Yang-Hui He
Editorial Note. Int. J. Data Sci. Math. Sci. 1 (2) (2023)
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) (2023)
Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst
Cluster Algebras: Network Science and Machine Learning. CoRR (2022)
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 (2022)
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 (2022)
Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
Machine-learning the Sato-Tate conjecture. J. Symb. Comput. 111 (2022)
Yang-Hui He, Juan Manuel Pérez Ipiña
Machine-Learning the Classification of Spacetimes. CoRR (2022)
Yang-Hui He
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook. CoRR (2022)
Malik Amir, Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Eldar Sultanow
Machine Learning Class Numbers of Real Quadratic Fields. CoRR (2022)
Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut
Calabi-Yau Metrics, Energy Functionals and Machine-Learning. CoRR (2021)
Yang-Hui He
Machine-Learning Mathematical Structures. CoRR (2021)
Jiakang Bao, Yang-Hui He, Edward Hirst
Neurons on Amoebae. CoRR (2021)
Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder
Machine Learning Lie Structures & Applications to Physics. CoRR (2020)
Pierre-Philippe Dechant, Yang-Hui He
Machine-learning a virus assembly fitness landscape. CoRR (2019)
Laura Alessandretti, Andrea Baronchelli, Yang-Hui He
Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. CoRR (2019)
Daniil Osudin, Chris Child, Yang-Hui He
Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. ICCS (5) (2019)
Daniil Osudin, Christopher Child, Yang-Hui He
Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. CoRR (2019)
Yang-Hui He, Minhyong Kim
Learning Algebraic Structures: Preliminary Investigations. CoRR (2019)
Yang-Hui He, Vishnu Jejjala, Brent D. Nelson
hep-th. CoRR (2018)
Yang-Hui He, John McKay, James Read
and elliptic K3 surfaces. LMS J. Comput. Math. 16 (2013)
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) (2009)