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Knowledge sharing on deep learning in physics research using VISPA / Beer, Max (RWTH Aachen U.) ; Eich, Niclas (RWTH Aachen U.) ; Erdmann, Martin (RWTH Aachen U.) ; Fackeldey, Peter (RWTH Aachen U.) ; Fischer, Benjamin (RWTH Aachen U.) ; Hafner, Katharina (RWTH Aachen U.) ; Noll, Dennis Daniel Nick (RWTH Aachen U.) ; Rath, Yannik Alexander (RWTH Aachen U.) ; Rieger, Marcel (CERN ; RWTH Aachen U.) ; Temme, Alexander (RWTH Aachen U.) et al.
The VISPA (VISual Physics Analysis) project provides a streamlined work environment for physics analyses and hands-on teaching experiences with a focus on deep learning. VISPA has already been successfully used in HEP analyses and teaching and is now being further developed into an interactive deep learning platform. [...]
2020 - 5 p. - Published in : EPJ Web Conf. 245 (2020) 05040 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.05040

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