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MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

Jan 21, 2021
Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu

* 12 pages, 10 figures 

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Track Seeding and Labelling with Embedded-space Graph Neural Networks

Jun 30, 2020
Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy Usher

* Proceedings submission in Connecting the Dots Workshop 2020, 10 pages 

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Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Jan 08, 2020
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

* 26 pages, 38 figures. Corrected typos and added additional references in v2. Extended Acknowledgements section in v3 

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Quantum adiabatic machine learning with zooming

Aug 13, 2019
Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel Lidar, Maria Spiropulu

* 7 pages, 4 figures 

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Charged particle tracking with quantum annealing-inspired optimization

Aug 13, 2019
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel Lidar, Maria Spiropulu

* 18 pages, 21 figures 

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Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Dec 05, 2018
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

* 17 pages, 9 figures, 4 tables 

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Topology classification with deep learning to improve real-time event selection at the LHC

Aug 01, 2018
Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

* 15 pages, 9 figures, 2 tables 

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An MPI-Based Python Framework for Distributed Training with Keras

Dec 16, 2017
Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu

* 4 pages, 4 figures, 1 table, [email protected], SC17 

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