Yang-Hui He - RankMe

41 papers A* 1Journal 39Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine learning discovers new champion codes. CoRR Yang-Hui He, Alexander M. Kasprzyk, Q. Le, Dmitrii Riabchenko
2025	J	`jnl`	Murmurations of Elliptic Curves. Exp. Math. Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Alexey Pozdnyakov
2024	J	`jnl`	A Triumvirate of AI Driven Theoretical Discovery. CoRR Yang-Hui He
2024	J	`jnl`	Editorial Note. Int. J. Data Sci. Math. Sci. Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
2024	J	`jnl`	Editorial Note. Int. J. Data Sci. Math. Sci. Yang-Hui He, Thomas Oliver, Alexander M. Kasprzyk
2024	A*	`conf`	Topological data analysis on noisy quantum computers. ICLR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2023	J	`jnl`	A visualization of the classical musical tradition. Int. J. Data Sci. Math. Sci. Yang-Hui He
2023	J	`jnl`	Calabi-Yau metrics, energy functionals and machine learning. Int. J. Data Sci. Math. Sci. Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut
2023	J	`jnl`	Editorial Note. Int. J. Data Sci. Math. Sci. Yang-Hui He
2023	J	`jnl`	Editorial Note. Int. J. Data Sci. Math. Sci. Yang-Hui He
2023	J	`jnl`	Learning algebraic structures: Preliminary investigations. Int. J. Data Sci. Math. Sci. Yang-Hui He, Minhyong Kim
2023	J	`jnl`	Learning to be Simple. CoRR Yang-Hui He, Vishnu Jejjala, Challenger Mishra, Max Sharnoff
2023	J	`jnl`	MSSM: A Macaulay2 Package for the Vacuum Moduli Space. ACM Commun. Comput. Algebra Yang-Hui He, Vishnu Jejjala, Brent D. Nelson, Hal Schenck, Michael Eugene Stillman
2023	J	`jnl`	Machine Learning Clifford invariants of ADE Coxeter elements. CoRR Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko
2023	J	`jnl`	Machine learning class numbers of real quadratic fields. Int. J. Data Sci. Math. Sci. Malik Amir, Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Eldar Sultanow
2023	J	`jnl`	Machine learning etudes in conformal field theories. Int. J. Data Sci. Math. Sci. Heng-Yu Chen, Yang-Hui He, Shailesh Lal, M. Zaid Zaz
2023	J	`jnl`	Machine learning invariants of arithmetic curves. J. Symb. Comput. Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
2023	J	`jnl`	Machine-learning mathematical structures. Int. J. Data Sci. Math. Sci. Yang-Hui He
2023	J	`jnl`	Neurons on amoebae. J. Symb. Comput. Jiakang Bao, Yang-Hui He, Edward Hirst
2023	J	`jnl`	Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces. CoRR Anthony Ashmore, Yang-Hui He, Elli Heyes, Burt A. Ovrut
2023	J	`jnl`	Polytopes and machine learning. Int. J. Data Sci. Math. Sci. Jiakang Bao, Yang-Hui He, Edward Hirst, Johannes Hofscheier, Alexander M. Kasprzyk, Suvajit Majumder
2023	J	`jnl`	Special issue on Algebraic Geometry and Machine Learning. J. Symb. Comput. Jonathan D. Hauenstein, Yang-Hui He, Ilias S. Kotsireas, Dhagash Mehta, Tingting Tang
2022	J	`jnl`	Cluster Algebras: Network Science and Machine Learning. CoRR Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst
2022	J	`jnl`	Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
2022	J	`jnl`	From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook. CoRR Yang-Hui He
2022	J	`jnl`	Machine Learning Class Numbers of Real Quadratic Fields. CoRR Malik Amir, Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver, Eldar Sultanow
2022	J	`jnl`	Machine-Learning the Classification of Spacetimes. CoRR Yang-Hui He, Juan Manuel Pérez Ipiña
2022	J	`jnl`	Machine-learning the Sato-Tate conjecture. J. Symb. Comput. Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
2022	J	`jnl`	Towards Quantum Advantage on Noisy Quantum Computers. CoRR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2021	J	`jnl`	Calabi-Yau Metrics, Energy Functionals and Machine-Learning. CoRR Anthony Ashmore, Lucille Calmon, Yang-Hui He, Burt A. Ovrut
2021	J	`jnl`	Machine-Learning Mathematical Structures. CoRR Yang-Hui He
2021	J	`jnl`	Neurons on Amoebae. CoRR Jiakang Bao, Yang-Hui He, Edward Hirst
2020	J	`jnl`	Machine Learning Lie Structures & Applications to Physics. CoRR Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder
2019	J	`jnl`	Learning Algebraic Structures: Preliminary Investigations. CoRR Yang-Hui He, Minhyong Kim
2019	J	`jnl`	Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. CoRR Laura Alessandretti, Andrea Baronchelli, Yang-Hui He
2019	J	`jnl`	Machine-learning a virus assembly fitness landscape. CoRR Pierre-Philippe Dechant, Yang-Hui He
2019	J	`jnl`	Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. CoRR Daniil Osudin, Christopher Child, Yang-Hui He
2019	—	`conf`	Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. ICCS (5) Daniil Osudin, Chris Child, Yang-Hui He
2018	J	`jnl`	hep-th. CoRR Yang-Hui He, Vishnu Jejjala, Brent D. Nelson
2013	J	`jnl`	Modular subgroups, LMS J. Comput. Math. Yang-Hui He, John McKay, James Read
2009	J	`jnl`	STRINGVACUA. A Mathematica package for studying vacuum configurations in string phenomenology. Comput. Phys. Commun. James Gray, Yang-Hui He, Anton Ilderton, André Lukas