Open Access
EPJ Web Conf.
Volume 175, 2018
35th International Symposium on Lattice Field Theory (Lattice 2017)
Article Number 11025
Number of page(s) 8
Section 11 Theoretical Developments
Published online 26 March 2018
  1. Andrew Ng, Machine Learning, Stanford course available from Coursera [Google Scholar]
  2. See Yann Lecun website, [Google Scholar]
  3. F. Rosenblatt, The perceptron, Psychological Review, Vol. 65, No. 6 (1958) [Google Scholar]
  4. N. Prokof’ev, B. Svistunov, Phys. Rev. Lett. 87, 160601 (2001) [CrossRef] [PubMed] [Google Scholar]
  5. Y. Meurice, Phys. Rev. B 87, 064422 (2013), 1211.3675 [CrossRef] [Google Scholar]
  6. E. Efrati, Z. Wang, A. Kolan, L.P. Kadanoff, Rev. Mod. Phys. 86, 647 (2014) [CrossRef] [Google Scholar]
  7. Y. Liu, Y. Meurice, M.P. Qin, J. Unmuth-Yockey, T. Xiang, Z.Y. Xie, J.F. Yu, H. Zou, Phys. Rev. D88, 056005 (2013), 1307.6543 [Google Scholar]
  8. S. Foreman, J. Giedt, Y. Meurice, and J. Unmuth-Yockey, Machine learning inspired analysis of the Ising model transition, preprint in progress [Google Scholar]
  9. P. Mehta, D.J. Schwab, ArXiv e-prints (2014), 1410.3831 [Google Scholar]
  10. D.J. Schwab, P. Mehta, ArXiv e-prints (2016), 1609.03541 [Google Scholar]
  11. H.W. Lin, M. Tegmark, ArXiv e-prints (2016), 1608.08225 [Google Scholar]
  12. Dan Cireşan, Ueli Meier, Juergen Schmidhuber, ArXiv e-prints (2012), 1202.2745 [Google Scholar]
  13. Carrasquilla, J., Melko, R. G., Machine learning phases of matter. Nat. Phys. (2017) [Google Scholar]
  14. Akinori Tanaka and Akio Tomiya, J. Phys. Soc. of Japan 86 063001 (2017), 1609.09087 [CrossRef] [Google Scholar]
  15. M. Luscher, Stochastic locality and master-field simulations of very large lattices, in Proceedings, 35th International Symposium on Lattice Field Theory (Lattice 2017): Granada, Spain, to appear in EPJWeb Conf., 1707.09758, [Google Scholar]
  16. Li Huang and Lei Wang, Phys. Rev. B 95, 035105 (2017), 1610.02746 [CrossRef] [Google Scholar]

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