Open Access
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
Article Number 03031
Number of page(s) 13
Section Offline Computing
Published online 23 August 2021
  1. T. Abe (Belle II Collaboration), 1011.0352, (2010) [Google Scholar]
  2. K. Akai, K. Furukawa, H. Koiso (SuperKEKB), Nucl. Instrum. Meth. A907, 188 (2018) [Google Scholar]
  3. S. Agostinelli et al. (GEANT4), Nucl.Instrum.Meth. A506, 250 (2003) [Google Scholar]
  4. F. Mueller (DEPFET), JINST 9, C10007 (2014) [Google Scholar]
  5. J. Kemmer, G. Lutz, Nucl. Instrum. Meth. A253, 365 (1987) [Google Scholar]
  6. Goodfellow, Ian J., Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 1406.2661 (2014) [Google Scholar]
  7. de Oliveira, Luke, Michela Paganini, and Benjamin Nachman. Computing and Software for Big Science, 1–24 (2017) [Google Scholar]
  8. Di Sipio, Riccardo, et al. Journal of High Energy Physics 8, 1–17 (2019). [Google Scholar]
  9. Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein, International Conference on Learning Representation, pages 1–25 (2017) [Google Scholar]
  10. Jaritz, Maximilian, Raoul De Charette, Emilie Wirbel, Xavier Perrotton, and Fawzi Nashashibi. 2018 International Conference on 3D Vision (3DV), pp. 52–60 (2018) [Google Scholar]
  11. Deng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. pp. 248–255 (2009). [Google Scholar]
  12. Brock, Andrew, Jeff Donahue, and Karen Simonyan, 1809.11096 (2018) [Google Scholar]
  13. Salimans, Tim, et al., 1606.03498, (2016) [Google Scholar]
  14. Heusel, Martin, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. arXiv preprint arXiv:1706.08500 (2017) [Google Scholar]
  15. Zhang, Han, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena. International conference on machine learning, pp. 7354–7363 (2019) [Google Scholar]
  16. Kang, Minguk, and Jaesik Park. 2006.12681 (2020) [Google Scholar]
  17. Vaswani, Ashish, et al. arXiv preprint arXiv:1706.03762 (2017) [Google Scholar]
  18. Zhang, Han, Zizhao Zhang, Augustus Odena, and Honglak Lee. 1910.12027 (2019) [Google Scholar]
  19. Paszke, Adam, et al. arXiv preprint arXiv:1912.01703 (2019) [Google Scholar]
  20. Srebre, Matej, Pascal Schmolz, Hosein Hashemi, Martin Ritter, and Thomas Kuhr. EPJ Web of Conferences 245, p. 02010 (2020) [Google Scholar]
  21. Wu, Yan, Jeff Donahue, David Balduzzi, Karen Simonyan, and Timothy Lillicrap, 1912.00953 (2019) [Google Scholar]
  22. Zhao, Yang, Chunyuan Li, Ping Yu, Jianfeng Gao, and Changyou Chen, 2004.02088 (2020) [Google Scholar]
  23. Miyato, Takeru, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida, 1802.05957 (2018) [Google Scholar]
  24. Saxe, Andrew M., James L. McClelland, and Surya Ganguli. 1312.6120 (2013) [Google Scholar]
  25. Gene Golub and Henk Van der Vorst. Journal of Computational and Applied Mathematics 123, 35–65 (2000) [Google Scholar]
  26. Liu, Kanglin, Wenming Tang, Fei Zhou, and Guoping Qiu. Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 6382–6390 (2019) [Google Scholar]
  27. Mescheder, Lars, Andreas Geiger, and Sebastian Nowozin. International conference on machine learning, pp. 3481–3490 (2018) [Google Scholar]
  28. Agueh, Martial, and Guillaume Carlier. SIAM Journal on Mathematical Analysis 43, no. 2, p904–924 (2011) [Google Scholar]
  29. Szegedy, Christian, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2818–2826 (2016) [Google Scholar]
  30. T. Kuhr, C. Pulvermacher, M. Ritter, T. Hauth, N. Braun (Belle-II Framework Software Group), Comput. Softw. Big Sci. 3, 1 (2019) [Google Scholar]

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