Open Access
Issue
EPJ Web Conf.
Volume 258, 2022
A Virtual Tribute to Quark Confinement and the Hadron Spectrum (vConf21)
Article Number 09001
Number of page(s) 8
Section Parallel Presentations Track H
DOI https://doi.org/10.1051/epjconf/202225809001
Published online 11 January 2022
  1. E. Noether, Nachrichten von der Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-Physikalische Klasse 1918, 235 (1918) [Google Scholar]
  2. S. Weinberg, Phys. Rev. Lett. 19, 1264 (1967) [Google Scholar]
  3. A. Salam, Elementary Particle Theory: Relativistic Groups and Analyticity (1968), p. 367, eighth Nobel Symposium. Stockholm: Almquvist and Wiksell. [Google Scholar]
  4. J. Carrasquilla, R.G. Melko, Nature Physics 13, 431–134 (2017) [Google Scholar]
  5. B. Yoon, T. Bhattacharya, R. Gupta, Phys. Rev. D 100, 014504 (2019) [Google Scholar]
  6. P.E. Shanahan, D. Trewartha, W. Detmold, Phys. Rev. D 97, 094506 (2018) [Google Scholar]
  7. T.S. Cohen, M. Welling, Group Equivariant Convolutional Networks, in Proceedings of The 33rd International Conference on Machine Learning (JMLR, 2016), Vol. 48, pp. 2990–2999, 1602.07576 [Google Scholar]
  8. T.S. Cohen, M. Weiler, B. Kicanaoglu, M. Welling, Gauge Equivariant Convolutional Networks and the Icosahedral CNN, in Proceedings of the 36th International Conference on Machine Learning (JMLR, 2019), Vol. 97, pp. 1321–1330, 1902.04615 [Google Scholar]
  9. G. Kanwar, M.S. Albergo, D. Boyda, K. Cranmer, D.C. Hackett, S. Racanière, D.J. Rezende, P.E. Shanahan, Physical Review Letters 125 (2020), 2003.06413 [Google Scholar]
  10. D. Boyda, G. Kanwar, S. Racanière, D.J. Rezende, M.S. Albergo, K. Cranmer, D.C. Hackett, P.E. Shanahan, Phys. Rev. D 103, 074504 (2021), 2008.05456 [Google Scholar]
  11. M. Favoni, A. Ipp, D.I. Müller, D. Schuh (2020), 2012.12901 [Google Scholar]
  12. S. Bulusu, M. Favoni, A. Ipp, D.I. Müller, D. Schuh, Phys. Rev. D 104, 074504 (2021), 2103.14686 [Google Scholar]
  13. K. Zhou, G. Endrodi, L.G. Pang, H. Stöcker, Physical Review D 100 (2019), 1810.12879 [Google Scholar]
  14. C. Gattringer, T. Kloiber, Nuclear Physics B 869, 56–73 (2013), 1206.2954 [Google Scholar]
  15. T. Akiba, S. Sano, T. Yanase, T. Ohta, M. Koyama, Optuna: A Next-generation Hyper-parameter Optimization Framework, in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Association for Computing Machinery, 2019), p. 2623–2631, ISBN 978-1-4503-6201-6, 1907.10902 [Google Scholar]
  16. N. Prokof’ev, B. Svistunov, Physical Review Letters 87 (2001), cond-mat/0103146 [Google Scholar]

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