Machine-learning mathematical structures

被引:0
|
作者
He, Yang-Hui [1 ,2 ,3 ,4 ]
机构
[1] Merton College, University of Oxford, OX14JD, United Kingdom
[2] London Institute of Mathematical Sciences, Royal Institution, London,W1S 4BS, United Kingdom
[3] Department of Mathematics, City University of London, EC1V 0HB, United Kingdom
[4] School of Physics, NanKai University, Tianjin,300071, China
来源
arXiv | 2021年
关键词
721.1 Computer Theory; Includes Computational Logic; Automata Theory; Switching Theory; Programming Theory;
D O I
暂无
中图分类号
学科分类号
摘要
Number theory
引用
收藏
相关论文
共 50 条
  • [21] Certified Machine-Learning Models
    Damiani, Ernesto
    Ardagna, Claudio A.
    SOFSEM 2020: THEORY AND PRACTICE OF COMPUTER SCIENCE, 2020, 12011 : 3 - 15
  • [22] Database for machine-learning research
    Lemonick, Sam
    CHEMICAL & ENGINEERING NEWS, 2021, 99 (44) : 9 - 9
  • [23] Machine-learning for osteoarthritis research
    Kluzek, S.
    Matteiz, T. A.
    OSTEOARTHRITIS AND CARTILAGE, 2019, 27 (07) : 977 - 978
  • [24] Machine-learning the string landscape
    He, Yang-Hui
    PHYSICS LETTERS B, 2017, 774 : 564 - 568
  • [25] DaDianNao: A Machine-Learning Supercomputer
    Chen, Yunji
    Luo, Tao
    Liu, Shaoli
    Zhang, Shijin
    He, Liqiang
    Wang, Jia
    Li, Ling
    Chen, Tianshi
    Xu, Zhiwei
    Sun, Ninghui
    Temam, Olivier
    2014 47TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO), 2014, : 609 - 622
  • [26] Machine-learning media bias
    D'Alonzo, Samantha
    Tegmark, Max
    PLOS ONE, 2022, 17 (08):
  • [27] Machine-learning the classification of spacetimes
    He, Yang-Hui
    Ipina, Juan Manuel Perez
    PHYSICS LETTERS B, 2022, 832
  • [28] Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle
    Chaudhuri, Arjun
    Talukdar, Jonti
    Chakrabarty, Krishnendu
    2022 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD, 2022,
  • [29] Persistent homology-based descriptor for machine-learning potential of amorphous structures
    Minamitani, Emi
    Obayashi, Ippei
    Shimizu, Koji
    Watanabe, Satoshi
    JOURNAL OF CHEMICAL PHYSICS, 2023, 159 (08):
  • [30] Training machine-learning potentials for crystal structure prediction using disordered structures
    Hong, Changho
    Choi, Jeong Min
    Jeong, Wonseok
    Kang, Sungwoo
    Ju, Suyeon
    Lee, Kyeongpung
    Jung, Jisu
    Youn, Yong
    Han, Seungwu
    PHYSICAL REVIEW B, 2020, 102 (22)