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Combined track finding with GNN & CKF
The application of Graph Neural Networks (GNN) in track reconstruction is a promising approach to cope with the challenges arising at the High-Luminosity upgrade of the Large Hadron Collider (HL-LHC).
Machine learning for surface prediction in ACTS
We present an ongoing R&D activity for machine-learning-assisted navigation through detectors to be used for track reconstruction.
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