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Andrey Ustyuzhanin
Andrey E. Ustyuzhanin
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2020 – today
- 2024
- [j15]Ekaterina Trofimova, Emil Sataev, Andrey Ustyuzhanin:
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines. PeerJ Comput. Sci. 10: e2328 (2024) - [j14]Duccio Abbaneo
, Shakeel Ahmad
Results and Perspectives from the First Two Years of Neutrino Physics at the LHC by the SND@LHC Experiment. Symmetry 16(6): 702 (2024) - [i30]Ekaterina Trofimova
Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines. CoRR abs/2403.11585 (2024) - [i29]Philipp Gysel, Candid Wüest, Kenneth Nwafor, Otakar Jasek, Andrey Ustyuzhanin, Dinil Mon Divakaran:
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs. CoRR abs/2408.09217 (2024) - 2023
- [j13]Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell
The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 7(1): 1 (2023) - [j12]Zoran Babovic
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): 73 (2023) - [j11]Zoran Babovic
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): 89 (2023) - [j10]Anastasia Drozdova, Ekaterina Trofimova
Code4ML: a large-scale dataset of annotated Machine Learning code. PeerJ Comput. Sci. 9: e1230 (2023) - [j9]Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach
Symbolic expression generation via variational auto-encoder. PeerJ Comput. Sci. 9: e1241 (2023) - [j8]Valeriy Berezovskiy, Anastasia Gorodilova, Ekaterina Trofimova
Machine learning code snippets semantic classification. PeerJ Comput. Sci. 9: e1654 (2023) - [i28]Sergei Popov, Mikhail Lazarev, Vladislav Belavin, Denis Derkach, Andrey Ustyuzhanin
Symbolic expression generation via Variational Auto-Encoder. CoRR abs/2301.06064 (2023) - [i27]Andrey Ustyuzhanin, Harald Carlens:
AI Competitions and Benchmarks: Competition platforms. CoRR abs/2312.05185 (2023) - 2022
- [j7]Artem Golovatiuk
Deep Learning for direct Dark Matter search with nuclear emulsions. Comput. Phys. Commun. 275: 108312 (2022) - [i26]Anastasia Drozdova, Polina Guseva, Ekaterina Trofimova
Code4ML: a Large-scale Dataset of annotated Machine Learning Code. CoRR abs/2210.16018 (2022) - 2021
- [j6]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) - [j5]Artem Ryzhikov, Maxim Borisyak
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
- [j4]Roel Aaij, Johannes Albrecht
Allen: A High-Level Trigger on GPUs for LHCb. Comput. Softw. Big Sci. 4(1) (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
SANgo: a storage infrastructure simulator with reinforcement learning support. PeerJ Comput. Sci. 6: e271 (2020) - [j1]Maxim Borisyak
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
TrackML: A High Energy Physics Particle Tracking Challenge. eScience 2018: 344 - [d2]Andreas Salzburger
TrackML Throughput Phase. Zenodo, 2018 - [d1]Andreas Salzburger
TrackML Particle Tracking Challenge. Zenodo, 2018 - [i12]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - [i11]Viktoria Chekalina, Elena 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
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
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last updated on 2024-10-25 20:09 CEST by the dblp team
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