Andrey Ustyuzhanin

According to our database, Andrey Ustyuzhanin authored at least 41 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines.

Ekaterina Trofimova, Emil Sataev, Andrey E. Ustyuzhanin

CoRR, 2024

2023

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.

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

J. Big Data, December, 2023

The Tracking Machine Learning Challenge: Throughput Phase.

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

Comput. Softw. Big Sci., December, 2023

Symbolic expression generation <i>via</i> variational auto-encoder.

Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin

PeerJ Comput. Sci., 2023

Code4ML: a large-scale dataset of annotated Machine Learning code.

Anastasia Drozdova, Ekaterina Trofimova, Polina Guseva, Anna Scherbakova, Andrey Ustyuzhanin

PeerJ Comput. Sci., 2023

Machine learning code snippets semantic classification.

Valeriy Berezovskiy, Anastasia Gorodilova, Ekaterina Trofimova, Andrey Ustyuzhanin

PeerJ Comput. Sci., 2023

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.

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

J. Big Data, 2023

AI Competitions and Benchmarks: Competition platforms.

Andrey Ustyuzhanin, Harald Carlens

CoRR, 2023

Symbolic expression generation via Variational Auto-Encoder.

Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin

CoRR, 2023

2022

Deep Learning for direct Dark Matter search with nuclear emulsions.

Artem Golovatiuk, Andrey Ustyuzhanin, Andrey Alexandrov, Giovanni De Lellis

Comput. Phys. Commun., 2022

2021

NFAD: fixing anomaly detection using normalizing flows.

Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach

PeerJ Comput. Sci., 2021

Generalization of change-point detection in time series data based on direct density ratio estimation.

Mikhail Hushchyn, Andrey Ustyuzhanin

J. Comput. Sci., 2021

Learning velocity model for complex media with deep convolutional neural networks.

A. Stankevich, I. Nechepurenko, A. Shevchenko, Leonid Gremyachikh, Andrey Ustyuzhanin, A. Vasyukov

CoRR, 2021

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

Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin

CoRR, 2021

Online detection of failures generated by storage simulator.

Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin

CoRR, 2021

2020

Allen: A High-Level Trigger on GPUs for LHCb.

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. S. Rangel, F. Reiss, C. Sánchez Mayordomo, R. Schwemmer, M. Sokoloff, H. Stevens, Andrey Ustyuzhanin, Xavier Vilasís-Cardona, M. Williams

Comput. Softw. Big Sci., December, 2020

Adaptive divergence for rapid adversarial optimization.

Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin

PeerJ Comput. Sci., 2020

SANgo: a storage infrastructure simulator with reinforcement learning support.

Kenenbek Arzymatov, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin, Ivan Tchoub, Artem Ikoev

PeerJ Comput. Sci., 2020

(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets.

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

J. Mach. Learn. Res., 2020

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

Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev

CoRR, 2020

Differentiating the Black-Box: Optimization with Local Generative Surrogates.

Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin

CoRR, 2020

Black-Box Optimization with Local Generative Surrogates.

Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Gunes Baydin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Normalizing flows for deep anomaly detection.

Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach

CoRR, 2019

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

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

CoRR, 2019

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

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

CoRR, 2019

Cherenkov Detectors Fast Simulation Using Neural Networks.

Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova

CoRR, 2019

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

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

CoRR, 2019

2018

Generative Models for Fast Calorimeter Simulation.LHCb case.

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

CoRR, 2018

Machine Learning in High Energy Physics Community White Paper.

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

CoRR, 2018

TrackML: A High Energy Physics Particle Tracking Challenge.

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Deep learning for inferring cause of data anomalies.

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

CoRR, 2017

Numerical optimization for Artificial Retina Algorithm.

Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach, Mikhail Belous

CoRR, 2017

Towards automation of data quality system for CERN CMS experiment.

Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin

CoRR, 2017

Muon Trigger for Mobile Phones.

Maxim Borisyak, Michail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin

CoRR, 2017

Everware toolkit. Supporting reproducible science and challenge-driven education.

Andrey Ustyuzhanin, Timothy Daniel Head, Igor Babuschkin, Alexander Tiunov

CoRR, 2017

GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets.

Mikhail Hushchyn, Andrey Ustyuzhanin, Philippe Charpentier, Christophe Haen

CoRR, 2017

LHCb trigger streams optimization.

Denis Derkach, Nikita Kazeev, R. Neychev, A. Panin, I. Trofimov, Andrey Ustyuzhanin, Mika Vesterinen

CoRR, 2017

2015

Event Index - a LHCb Event Search System.

Andrey Ustyuzhanin, Alexey Artemov, Nikita Kazeev, Artem Redkin

CoRR, 2015

Disk storage management for LHCb based on Data Popularity estimator.

Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin

CoRR, 2015

A genetic algorithm for autonomous navigation in partially observable domain.

Maxim Borisyak, Andrey Ustyuzhanin

CoRR, 2015

Distributed Data Replication and Access Optimization for LHCb Storage System.

Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin

Proceedings of the KDIR 2015, 2015