Andrey Ustyuzhanin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 41

Top Topics

Anomaly Detection

Incomplete Data Sets

High Energy Physics

Top Venues

PeerJ Comput. Sci.

Comput. Softw. Big Sci.

Publications

Duccio Abbaneo, Shakeel Ahmad, Raffaele Albanese, Andrey Alexandrov, Fabio Alicante, Konstantin Androsov, Anna Anokhina, Takashi Asada, Chayanit Asawatangtrakuldee, Marco A. Ayala Torres, Carlo Battilana, Aurelio Bay, Alcide Bertocco, Christopher Betancourt, Daniel Bick, Riddhi Biswas, Alberto Blanco Castro, Vincenzo Boccia, Mariyan Bogomilov, Daniele Bonacorsi, Walter Bonivento, Paula Bordalo, Alexey Boyarsky, Salvatore Buontempo, Mario Campanelli, TizianoCamporesi, Vincenzo Canale, Andrea Castro, Daniele Centanni, Francesco Cerutti, Mikhail Chernyavskiy, Ki Young Choi, Serhii Cholak, Federico Cindolo, Matei Climescu, Andrew Conaboy, Gaetano Marco Dallavalle, Daniele Davino, Paul de Bryas, Giovanni De Lellis, Massimiliano De Magistris, Albert De Roeck, Alvaro De Rújula, Marilisa De Serio, Dario De Simone, Antonia Di Crescenzo, Donato Di Ferdinando, Roberto Donà, Onur Durhan, Fabrizio Fabbri, Filips Fedotovs, Martina Ferrillo, Massimiliano Ferro-Luzzi, Rosa Anna Fini, Antimo Fiorillo, Raffaele Fresa, Wolfgang Funk, Francisca M. Garay Walls, Artem Golovatiuk, Andrey Golutvin, Elena Graverini, Ali M. Guler, Vasilisa Guliaeva, Guido J. Haefeli, Caren Hagner, Juan C. Helo Herrera, Eric van Herwijnen, Paolo Iengo, Simona Ilieva, Angelo Infantino, Antonio Iuliano, Richard Jacobsson, Cagin Kamiscioglu, Anni M. Kauniskangas, Emil Khalikov, Sung Hyun Kim, Yeong Gyun Kim, Guennadii Klioutchnikov, Masahiro Komatsu, Nina Konovalova, Sergey Kuleshov, Lukasz Krzempek, Heiko M. Lacker, Oliver Lantwin, Federico Lasagni Manghi, Adele Lauria, Kang Young Lee, Kyong Sei Lee, Sergio Lo Meo, Vincenzo Paolo Loschiavo, Stefano Marcellini, Annarita Margiotta, Anna Mascellani, Filippo Mei, Andrea Miano, A. Mikulenko, Maria Cristina Montesi, Francesco Luigi Navarria, Waraporn Nuntiyakul, Satoru Ogawa, Natalia Okateva, Maksym Ovchynnikov, Giulia Paggi, Byungdo Park, Alessandra Pastore, Andrea Perrotta, Dmitriy Podgrudkov, Natalia Polukhina, Andrea Prota, Antonio Quercia, Sérgio Ramos, Anupama Reghunath, Tatiana Roganova, Federico Ronchetti, Tiziano Rovelli, Oleg Ruchayskiy, Thomas Ruf, Marta Sabate Gilarte, Zhakypbek Sadykov, Mikhail Samoilov, Valentino Scalera, Walter Schmidt-Parzefall, Olivier Schneider, Givi Sekhniaidze, Nicola Serra, Mikhail Shaposhnikov, Vladimir Shevchenko, Tatiana Shchedrina, Lesya Shchutska, Hiroshi Shibuya, Saverio Simone, Gian P. Siroli, Gabriele Sirri, Guilherme Soares, Jong Yoon Sohn, Orlando J. Soto Sandoval, Maurizio Spurio, Nikolai Starkov, Jan Steggemann, Inar Timiryasov, Valeri Tioukov, Francesco Tramontano, Carina Trippl, Eduard Ursov, Andrey Ustyuzhanin, Galina Vankova-Kirilova, Gerardo Vasquez, Vassil Verguilov, Nuno Viegas Guerreiro Leonardo, Cristovao Vilela, Ciro Visone, Rainer Wanke, Eda Yaman, Zhibin Yang, Ceren Yazici, Chun Sil Yoon, Ettore Zaffaroni, Jilberto Zamora-Saá
Results and Perspectives from the First Two Years of Neutrino Physics at the LHC by the SND@LHC Experiment. Symmetry 16 (6) (2024)
Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin
variational auto-encoder. PeerJ Comput. Sci. 9 (2023)
Zoran Babovic, Branislav Bajat, Vladan Dokic, Filip Dordevic, Drazen Draskovic, Nenad Filipovic, Borko Furht, Nikola Gacic, Igor Ikodinovic, Marija Ilic, Ayhan Irfanoglu, Branislav Jelenkovic, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Milos Kotlar, Milos Kovacevic, Vladan Kuzmanovic, Marko Marinkovic, Slobodan Markovic, Avi Mendelson, Veljko Milutinovic, Aleksandar Neskovic, Natasa Neskovic, Nenad Mitic, Bosko Nikolic, Konstantin Novoselov, Arun Prakash, Ivan Ratkovic, Zoran Stojadinovic, Andrey Ustyuzhanin, Stanislaw H. Zak
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems. J. Big Data 10 (1) (2023)
Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin
Symbolic expression generation via Variational Auto-Encoder. CoRR (2023)
Zoran Babovic, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Dokic, Filip Dordevic, Drazen Draskovic, Nenad Filipovic, Stephan French, Borko Furht, Marija Ilic, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija, Milos Kotlar, Milos Kovacevic, Vladan Kuzmanovic, Jean-Marie Lehn, Dejan Madic, Marko Marinkovic, Miodrag M. Spalevic, Avi Mendelson, Fedor Mesinger, Gradimir V. Milovanovic, Veljko Milutinovic, Nenad Mitic, Aleksandar Neskovic, Natasa Neskovic, Bosko Nikolic, Konstantin Novoselov, Arun Prakash, Jelica Protic, Ivan Ratkovic, Diego Rios, Dan Shechtman, Zoran Stojadinovic, Andrey Ustyuzhanin, Stanislaw H. Zak
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains. J. Big Data 10 (1) (2023)
Anastasia Drozdova, Ekaterina Trofimova, Polina Guseva, Anna Scherbakova, Andrey Ustyuzhanin
Code4ML: a large-scale dataset of annotated Machine Learning code. PeerJ Comput. Sci. 9 (2023)
Valeriy Berezovskiy, Anastasia Gorodilova, Ekaterina Trofimova, Andrey Ustyuzhanin
Machine learning code snippets semantic classification. PeerJ Comput. Sci. 9 (2023)
Andrey Ustyuzhanin, Harald Carlens
AI Competitions and Benchmarks: Competition platforms. CoRR (2023)
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 7 (1) (2023)
Artem Golovatiuk, Andrey Ustyuzhanin, Andrey Alexandrov, Giovanni De Lellis
Deep Learning for direct Dark Matter search with nuclear emulsions. Comput. Phys. Commun. 275 (2022)
Anastasia Drozdova, Polina Guseva, Ekaterina Trofimova, Anna Scherbakova, Andrey Ustyuzhanin
Code4ML: a Large-scale Dataset of annotated Machine Learning Code. CoRR (2022)
Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin
Online detection of failures generated by storage simulator. CoRR (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
The Tracking Machine Learning challenge : Throughput phase. CoRR (2021)
Mikhail Hushchyn, Andrey Ustyuzhanin
Generalization of change-point detection in time series data based on direct density ratio estimation. J. Comput. Sci. 53 (2021)
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
NFAD: fixing anomaly detection using normalizing flows. PeerJ Comput. Sci. 7 (2021)
Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin
Segmentation of EM showers for neutrino experiments with deep graph neural networks. CoRR (2021)
A. Stankevich, I. Nechepurenko, A. Shevchenko, Leonid Gremyachikh, Andrey Ustyuzhanin, A. Vasyukov
Learning velocity model for complex media with deep convolutional neural networks. CoRR (2021)
R. Aaij, J. Albrecht, M. Belous, P. Billoir, T. Boettcher, A. Brea Rodriguez, Dorothea Vom Bruch, Daniel Hugo Cámpora Pérez, A. Casais Vidal, Daniel C. Craik, Placido Fernandez Declara, L. Funke, Vladimir V. Gligorov, Brij Kishor Jashal, N. Kazeev, D. Martinez Santos, Flavio Pisani, D. Pliushchenko, S. Popov, Renato Quagliani, M. Rangel, F. Reiss, C. Sánchez Mayordomo, R. Schwemmer, M. Sokoloff, H. Stevens, Andrey Ustyuzhanin, Xavier Vilasís-Cardona, M. Williams
Allen: A High-Level Trigger on GPUs for LHCb. Comput. Softw. Big Sci. 4 (1) (2020)
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
Adaptive divergence for rapid adversarial optimization. PeerJ Comput. Sci. 6 (2020)
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin
Differentiating the Black-Box: Optimization with Local Generative Surrogates. CoRR (2020)
Kenenbek Arzymatov, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin, Ivan Tchoub, Artem Ikoev
SANgo: a storage infrastructure simulator with reinforcement learning support. PeerJ Comput. Sci. 6 (2020)
Mikhail Hushchyn, Andrey Ustyuzhanin
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. CoRR (2020)
Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. J. Mach. Learn. Res. 21 (2020)
Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images. CoRR (2020)
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Gunes Baydin
Black-Box Optimization with Local Generative Surrogates. NeurIPS (2020)
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach
Normalizing flows for deep anomaly detection. CoRR (2019)
Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova
Cherenkov Detectors Fast Simulation Using Neural Networks. CoRR (2019)
Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. CoRR (2019)
Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin, Maksim Artemev, Lucio Anderlini
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks. CoRR (2019)
Leonid Gremyachikh, Dmitrii Dubov, Nikita Kazeev, Andrey Kulibaba, Andrey Skuratov, Anton Tereshkin, Andrey Ustyuzhanin, Lubov Shiryaeva, Sergej Shishkin
Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers. CoRR (2019)
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
Adaptive Divergence for Rapid Adversarial Optimization. CoRR (2019)
Paolo Calafiura, Steven Farrell, Heather Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin
TrackML: A High Energy Physics Particle Tracking Challenge. eScience (2018)
Viktoria Chekalina, Elena D. Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov
Generative Models for Fast Calorimeter Simulation.LHCb case. CoRR (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 M. 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 Alexander Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, 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 B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. 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 Andrew 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
Machine Learning in High Energy Physics Community White Paper. CoRR (2018)
Mikhail Hushchyn, Andrey Ustyuzhanin, Philippe Charpentier, Christophe Haen
GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets. CoRR (2017)
V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol, Fedor Ratnikov, Filip Siroky, Andrey Ustyuzhanin, Jean-Roch Vlimant
Deep learning for inferring cause of data anomalies. CoRR (2017)
Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin
Muon Trigger for Mobile Phones. CoRR (2017)
Andrey Ustyuzhanin, Timothy Daniel Head, Igor Babuschkin, Alexander Tiunov
Everware toolkit. Supporting reproducible science and challenge-driven education. CoRR (2017)
Denis Derkach, Nikita Kazeev, R. Neychev, A. Panin, I. Trofimov, Andrey Ustyuzhanin, Mika Vesterinen
LHCb trigger streams optimization. CoRR (2017)
Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin
Towards automation of data quality system for CERN CMS experiment. CoRR (2017)
Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous
Numerical optimization for Artificial Retina Algorithm. CoRR (2017)
Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
Disk storage management for LHCb based on Data Popularity estimator. CoRR (2015)
Maxim Borisyak, Andrey Ustyuzhanin
A genetic algorithm for autonomous navigation in partially observable domain. CoRR (2015)
Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
Distributed Data Replication and Access Optimization for LHCb Storage System. KDIR (2015)
Andrey Ustyuzhanin, Alexey Artemov, Nikita Kazeev, Artem Redkin
Event Index - a LHCb Event Search System. CoRR (2015)