Open Access
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 02034
Number of page(s) 8
Section T2 - Offline computing
Published online 17 September 2019
  1. C. Bozzi, Tech. rep., CERN-LHCb-PUB-2015-004 (2014) [Google Scholar]
  2. J. Flynn, Tech. rep., CERN-RRB-2015-117 (2015) [Google Scholar]
  3. G. Grindhammer, S. Peters, arXiv preprint hep-ex/0001020 (2000) [Google Scholar]
  4. C. ATLAS, S. Yamamoto, M. Shapiro, J. Virzi, M. Werner, M. Venturi, M. Beckingham, E. Schmidt, T. Yamanaka, M. Duehrssen etal., Tech. rep., ATL-COM-PHYS-2010-838 (2010) [Google Scholar]
  5. M. Paganini, L. de Oliveira, B. Nachman, arXiv preprint arXiv:1705.02355 (2017) [Google Scholar]
  6. I. Goodfellow, J Pouget-Abadie, M. Mirza, B. Xu, D Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, in Advances in neural information processing systems (2014), pp. 2672–2680 [Google Scholar]
  7. A. Radford, L. Metz, S. Chintala, arXiv preprint arXiv:1511.06434 (2015) [Google Scholar]
  8. P. Isola, J. Zhu, T. Zhou, A.A. Efros, arXiv preprint arXiv:1611.07004 (2016) [Google Scholar]
  9. J.Y. Zhu, T. Park, P. Isola, A.A. Efros, Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, in Computer Vision (ICCV), 2017 IEEE Inter-national Conference on (2017) [Google Scholar]
  10. T.C. Wang, M.Y. Liu, J.Y. Zhu, G. Liu, A. Tao, J. Kautz, B. Catanzaro, arXiv preprint arXiv:1808.06601 (2018) [Google Scholar]
  11. M. Arjovsky, S. Chintala, L. Bottou, arXiv preprint arXiv:1701.07875 (2017) [Google Scholar]
  12. I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, A.C. Courville, Improved training of wasserstein gans, in Advances in Neural Information Processing Systems (2017), pp. 5769–5779 [Google Scholar]
  13. Y. Taigman, M. Yang, M. Ranzato, L. Wolf, Deepface: Closing the gap to human-level performance in face verification, in Proceedings of the IEEE conference on computer vision and pattern recognition (2014), pp. 1701–1708 [Google Scholar]
  14. L. de Oliveira, M. Paganini, B. Nachman, arXiv preprint arXiv:1701.05927 (2017) [Google Scholar]
  15. A.A. Alves Jr. etal. (LHCb collaboration), JINST 3, S08005 (2008) [Google Scholar]
  16. J. Johnson, A. Alahi, L Fei-Fei, Perceptual losses for real-time style transfer and super-resolution, in European Conference on Computer Vision (Springer, 2016), pp. 694–711 [Google Scholar]

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