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Style-based quantum generative adversarial networks for Monte Carlo events


Oct 13, 2021
Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza

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* 14 pages, 10 figures, code available in https://github.com/QTI-TH/style-qgan 

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A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients


Sep 28, 2021
Giulia Zorzi, Luca Berta, Stefano Carrazza, Alberto Torresin

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* 11 pages, 4 figures, preprint 

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PDFFlow: hardware accelerating parton density access


Dec 15, 2020
Marco Rossi, Stefano Carrazza, Juan M. Cruz-Martinez

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* 6 pages, 6 figures. Code available at "https://github.com/N3PDF/pdfflow". Refer also to arXiv:2009.06635 

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PDFFlow: parton distribution functions on GPU


Sep 14, 2020
Stefano Carrazza, Juan M. Cruz-Martinez, Marco Rossi

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* 8 pages, 7 figures, 2 tables. Code available at https://github.com/N3PDF/pdfflow 

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Qibo: a framework for quantum simulation with hardware acceleration


Sep 03, 2020
Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrián Pérez-Salinas, Diego García-Martín, Artur Garcia-Saez, José Ignacio Latorre, Stefano Carrazza

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* 15 pages, 12 figures, 5 tables,code available at https://github.com/Quantum-TII/qibo 

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VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms


Feb 28, 2020
Stefano Carrazza, Juan M. Cruz-Martinez

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* 5 pages, 5 figures 

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Towards hardware acceleration for parton densities estimation


Sep 23, 2019
Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari, Emilio Villa

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* 6 pages, 2 figures, 3 tables, in proceedings of PHOTON 2019 

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Lund jet images from generative and cycle-consistent adversarial networks


Sep 03, 2019
Stefano Carrazza, Frédéric A. Dreyer

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* 11 pages, 16 figures, code available at https://github.com/JetsGame/gLund and https://github.com/JetsGame/CycleJet 

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Modelling conditional probabilities with Riemann-Theta Boltzmann Machines


May 27, 2019
Stefano Carrazza, Daniel Krefl, Andrea Papaluca

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* 7 pages, 3 figures, in proceedings of the 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2019) 

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Jet grooming through reinforcement learning


Mar 22, 2019
Stefano Carrazza, Frédéric A. Dreyer

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* 10 pages, 10 figures, code available at https://github.com/JetsGame/GroomRL 

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