The Tracking Machine Learning Challenge: Accuracy Phase

Author:

Amrouche Sabrina,Basara Laurent,Calafiura Paolo,Estrade Victor,Farrell Steven,Ferreira Diogo R.,Finnie Liam,Finnie Nicole,Germain Cécile,Gligorov Vladimir Vava,Golling Tobias,Gorbunov Sergey,Gray Heather,Guyon Isabelle,Hushchyn Mikhail,Innocente Vincenzo,Kiehn Moritz,Moyse Edward,Puget Jean-François,Reina Yuval,Rousseau David,Salzburger Andreas,Ustyuzhanin Andrey,Vlimant Jean-Roch,Wind Johan Sokrates,Xylouris Trian,Yilmaz Yetkin

Publisher

Springer International Publishing

Reference35 articles.

1. Aad, G., et al.: The ATLAS Simulation Infrastructure. Eur. Phys. J. C70, 823–874 (2010). DOI https://doi.org/10.1140/epjc/s10052-010-1429-9

2. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015). URL https://www.tensorflow.org/ . Software available from tensorflow.org

3. Adam-Bourdarios, C., Cowan, G., Germain, C., Guyon, I., Kégl, B., Rousseau, D.: The Higgs boson machine learning challenge. In: HEPML@ NIPS, pp. 19–55 (2014). URL http://www.jmlr.org/proceedings/papers/v42/cowa14.pdf

4. Amrouche, S., et al.: The Tracking Machine Learning Challenge: Throughput phase. in preparation

5. Amrouche, S., et al.: Track reconstruction at LHC as a collaborative data challenge use case with RAMP. EPJ Web Conf. 150, 00015 (2017). DOI https://doi.org/10.1051/epjconf/201715000015

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