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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

* 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

* 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

* 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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Normalizing flows for deep anomaly detection


Dec 19, 2019
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach


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Adaptive Divergence for Rapid Adversarial Optimization


Dec 01, 2019
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin


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$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets


Jun 14, 2019
Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva


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Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks


May 28, 2019
Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin, Maksim Artemev, Lucio Anderlini

* Proceedings for 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research 

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Cherenkov Detectors Fast Simulation Using Neural Networks


Mar 28, 2019
Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova

* In proceedings of 10th International Workshop on Ring Imaging Cherenkov Detectors 

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Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers


Feb 06, 2019
Leonid Gremyachikh, Dmitrii Dubov, Nikita Kazeev, Andrey Kulibaba, Andrey Skuratov, Anton Tereshkin, Andrey Ustyuzhanin, Lubov Shiryaeva, Sergej Shishkin

* Submitted to AAS Advances in the Astronautical Sciences, presented at IAA SciTech Forum 2018 

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Generative Models for Fast Calorimeter Simulation.LHCb case


Dec 04, 2018
Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov

* Proceedings of the presentation at CHEP 2018 Conference 

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Machine Learning in High Energy Physics Community White Paper


Jul 08, 2018
Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemysław Karpiński, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark Neubauer, Harvey Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Stewart, Bob Stienen, Ian Stockdale, Giles Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata

* Editors: Sergei Gleyzer, Paul Seyfert and Steven Schramm 

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Numerical optimization for Artificial Retina Algorithm


Oct 01, 2017
Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous


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Towards automation of data quality system for CERN CMS experiment


Sep 25, 2017
Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin


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Muon Trigger for Mobile Phones


Sep 25, 2017
Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin


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Disk storage management for LHCb based on Data Popularity estimator


Oct 01, 2015
Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin


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A genetic algorithm for autonomous navigation in partially observable domain


Jul 27, 2015
Maxim Borisyak, Andrey Ustyuzhanin


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