Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndrey Ustyuzhanin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j8]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): 1 (2023)- [j7]Anastasia Drozdova, Ekaterina Trofimova, Polina Guseva, Anna Scherbakova, Andrey Ustyuzhanin:
Code4ML: a large-scale dataset of annotated Machine Learning code. PeerJ Comput. Sci. 9: e1230 (2023) - [i27]Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin:
Symbolic expression generation via Variational Auto-Encoder. CoRR abs/2301.06064 (2023) - 2022
- [j6]Artem Golovatiuk, Andrey Ustyuzhanin, Andrey Alexandrov, Giovanni De Lellis:
Deep Learning for direct Dark Matter search with nuclear emulsions. Comput. Phys. Commun. 275: 108312 (2022) - [i26]Anastasia Drozdova, Polina Guseva, Ekaterina Trofimova, Anna Scherbakova, Andrey Ustyuzhanin:
Code4ML: a Large-scale Dataset of annotated Machine Learning Code. CoRR abs/2210.16018 (2022) - 2021
- [j5]Mikhail Hushchyn, Andrey Ustyuzhanin:
Generalization of change-point detection in time series data based on direct density ratio estimation. J. Comput. Sci. 53: 101385 (2021) - [j4]Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach:
NFAD: fixing anomaly detection using normalizing flows. PeerJ Comput. Sci. 7: e757 (2021) - [i25]Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin:
Online detection of failures generated by storage simulator. CoRR abs/2101.07100 (2021) - [i24]Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin:
Segmentation of EM showers for neutrino experiments with deep graph neural networks. CoRR abs/2104.02040 (2021) - [i23]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. CoRR abs/2105.01160 (2021) - [i22]A. Stankevich, I. Nechepurenko, A. Shevchenko, Leonid Gremyachikh, Andrey Ustyuzhanin, A. Vasyukov:
Learning velocity model for complex media with deep convolutional neural networks. CoRR abs/2110.08626 (2021) - 2020
- [j3]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: 72:1-72:22 (2020) - [j2]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: e271 (2020) - [j1]Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin:
Adaptive divergence for rapid adversarial optimization. PeerJ Comput. Sci. 6: e274 (2020) - [c3]Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Gunes Baydin:
Black-Box Optimization with Local Generative Surrogates. NeurIPS 2020 - [i21]Mikhail Hushchyn, Andrey Ustyuzhanin:
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. CoRR abs/2001.06386 (2020) - [i20]Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin:
Differentiating the Black-Box: Optimization with Local Generative Surrogates. CoRR abs/2002.04632 (2020) - [i19]Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev:
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images. CoRR abs/2007.04295 (2020)
2010 – 2019
- 2019
- [i18]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 abs/1902.02095 (2019) - [i17]Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova:
Cherenkov Detectors Fast Simulation Using Neural Networks. CoRR abs/1903.11788 (2019) - [i16]Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin, Maksim Artemev, Lucio Anderlini:
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks. CoRR abs/1905.11825 (2019) - [i15]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 abs/1906.06096 (2019) - [i14]Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin:
Adaptive Divergence for Rapid Adversarial Optimization. CoRR abs/1912.00520 (2019) - [i13]Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach:
Normalizing flows for deep anomaly detection. CoRR abs/1912.09323 (2019) - 2018
- [c2]Paolo Calafiura, Steven Farrell, Heather M. 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: 344 - [i12]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 V. 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, 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 S. 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 Chatham 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 abs/1807.02876 (2018) - [i11]Viktoria Chekalina, Elena D. Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov:
Generative Models for Fast Calorimeter Simulation.LHCb case. CoRR abs/1812.01319 (2018) - 2017
- [i10]Denis Derkach, Nikita Kazeev, R. Neychev, A. Panin, I. Trofimov, Andrey Ustyuzhanin, Mika Vesterinen:
LHCb trigger streams optimization. CoRR abs/1702.05262 (2017) - [i9]Andrey Ustyuzhanin, Timothy Daniel Head, Igor Babuschkin, Alexander Tiunov:
Everware toolkit. Supporting reproducible science and challenge-driven education. CoRR abs/1703.01200 (2017) - [i8]Mikhail Hushchyn, Andrey Ustyuzhanin, Philippe Charpentier, Christophe Haen:
GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets. CoRR abs/1705.04513 (2017) - [i7]Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin:
Muon Trigger for Mobile Phones. CoRR abs/1709.08605 (2017) - [i6]Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin:
Towards automation of data quality system for CERN CMS experiment. CoRR abs/1709.08607 (2017) - [i5]Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous:
Numerical optimization for Artificial Retina Algorithm. CoRR abs/1709.08610 (2017) - [i4]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 abs/1711.07051 (2017) - 2015
- [c1]Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin:
Distributed Data Replication and Access Optimization for LHCb Storage System. KDIR 2015: 537-540 - [i3]Andrey Ustyuzhanin, Alexey Artemov, Nikita Kazeev, Artem Redkin:
Event Index - a LHCb Event Search System. CoRR abs/1505.07417 (2015) - [i2]Maxim Borisyak, Andrey Ustyuzhanin:
A genetic algorithm for autonomous navigation in partially observable domain. CoRR abs/1507.07374 (2015) - [i1]Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin:
Disk storage management for LHCb based on Data Popularity estimator. CoRR abs/1510.00132 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-03-14 15:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
