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TrackML: A High Energy Physics Particle Tracking Challenge

 Polo Calafiura , Steven Farrell , Heather Gray , Jean-Roch Vlimant , Vincenzo Innocente , et al.
14th International Conference on e-Science, Oct 2018, Amsterdam, Netherlands. pp.344, ⟨10.1109/eScience.2018.00088⟩
Communication dans un congrès hal-02073926v1
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The TrackML Particle Tracking Challenge

 David Rousseau , Sabrina Amrouche , Paolo Calafiura , Victor Estrade , Steven Farrell , et al.
2018
Autre publication scientifique hal-01680537v2
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Systematics aware learning: a case study in High Energy Physics

 Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium
Communication dans un congrès hal-01715155v1
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Adversarial learning to eliminate systematic errors: a case study in High Energy Physics

 Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
NIPS 2017 - workshop Deep Learning for Physical Sciences, Dec 2017, Long Beach, United States. pp.1-5
Communication dans un congrès hal-01665925v1
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The Tracking Machine Learning challenge : Throughput phase

 Sabrina Amrouche , Laurent Basara , Paolo Calafiura , Dmitry Emeliyanov , Victor Estrade , et al.
Computing and Software for Big Science, 2023, 7 (1), pp.1. ⟨10.1007/s41781-023-00094-w⟩
Article dans une revue hal-03159824v2
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The TrackML challenge

 David Rousseau , Sabrina Amrouche , Paolo Calafiura , Victor Estrade , Steven Farrell , et al.
NIPS 2018 - 32nd Annual Conference on Neural Information Processing Systems, Dec 2018, Montreal, Canada. pp.1-23
Communication dans un congrès hal-01745714v1
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