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Symbolic expression generation via Variational Auto-Encoder


Jan 15, 2023
Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin

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The Tracking Machine Learning challenge : Throughput phase


May 14, 2021
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant

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* submitted to Computing and Software for Big Science 

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Segmentation of EM showers for neutrino experiments with deep graph neural networks


Apr 16, 2021
Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin

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* 14 pages, 11 figures 

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Online detection of failures generated by storage simulator


Jan 18, 2021
Kenenbek Arzymatov, Mikhail Hushchyn, Andrey Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin

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A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images


Jul 08, 2020
Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev

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* Accepted to Astronomische Nachrichten 

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Differentiating the Black-Box: Optimization with Local Generative Surrogates


Feb 11, 2020
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atılım Güneş Baydin

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Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation


Jan 17, 2020
Mikhail Hushchyn, Andrey Ustyuzhanin

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