no code implementations • 5 Jul 2023 • Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn
The results of the experiments demonstrate the errors of 4-10 % for IOPS and 3-16 % for latency predictions depending on the components and models of the system.
2 code implementations • 15 Sep 2022 • Mariia Demianenko, Konstantin Malanchev, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Denis Derkach, Mikhail Hushchyn
Modern-day time-domain photometric surveys collect a lot of observations of various astronomical objects and the coming era of large-scale surveys will provide even more information on their properties.
1 code implementation • 22 Aug 2022 • Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
Change point detection algorithms are aimed to locating abrupt changes in the time series behaviour of a process.
1 code implementation • 27 Jun 2022 • Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin Malanchev, Denis Derkach, Mikhail Hushchyn
Normalizing Flows exceeds Gaussian processes in terms of approximation quality as well.
1 code implementation • 3 May 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
Both were measured on the Codalab platform where the participants had to upload their software.
no code implementations • 18 Jan 2021 • Kenenbek Arzymatov, Mikhail Hushchyn, Andrey Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin
In this work, we challenge two problems: 1) lack of storage data in the methods above by creating a simulator and 2) applying existing online algorithms that can faster detect a failure occurred in one of the components.
1 code implementation • 3 Oct 2020 • Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach
Moments when a time series changes its behaviour are called change points.
1 code implementation • 18 Jun 2020 • Stanislav Dobryakov, Konstantin Malanchev, Denis Derkach, Mikhail Hushchyn
We propose a novel approach for a machine-learning-based detection of the type Ia supernovae using photometric information.
1 code implementation • 21 Jan 2020 • Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn
Accurate particle identification (PID) is one of the most important aspects of the LHCb experiment.
1 code implementation • 17 Jan 2020 • Mikhail Hushchyn, Andrey Ustyuzhanin
The goal of the change-point detection is to discover changes of time series distribution.
no code implementations • 1 Oct 2015 • Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
We use regression algorithms and time series analysis to find the optimal number of replicas for datasets that are kept on disk.