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Mikhail Hushchyn
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2020 – today
- 2024
- [c3]Tigran Ramazyan
, Mikhail Hushchyn
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. ECAI 2024: 2394-2401 - [i13]Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach:
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. CoRR abs/2407.11917 (2024) - 2023
- [j5]Artem Ryzhikov
Latent Stochastic Differential Equations for Change Point Detection. IEEE Access 11: 104700-104711 (2023) - [j4]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) - [i12]Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn:
Performance Modeling of Data Storage Systems using Generative Models. CoRR abs/2307.02073 (2023) - 2022
- [j3]Roel Aaij, Marta Adinolfi, Salvatore Aiola, S. Akar, Johannes Albrecht
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. Comput. Softw. Big Sci. 6(1) (2022) - [i11]Mariia Demianenko
Supernova Light Curves Approximation based on Neural Network Models. CoRR abs/2206.13306 (2022) - [i10]Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach:
Latent Neural Stochastic Differential Equations for Change Point Detection. CoRR abs/2208.10317 (2022) - [i9]Mariia Demianenko
Toward an understanding of the properties of neural network approaches for supernovae light curve approximation. CoRR abs/2209.07542 (2022) - 2021
- [j2]Stanislav Dobryakov
Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog. Astron. Comput. 35: 100451 (2021) - [j1]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) - [i8]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) - [i7]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) - 2020
- [i6]Mikhail Hushchyn, Andrey Ustyuzhanin:
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. CoRR abs/2001.06386 (2020) - [i5]Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn:
Variational Dropout Sparsification for Particle Identification speed-up. CoRR abs/2001.07493 (2020) - [i4]Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn:
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog. CoRR abs/2006.10489 (2020) - [i3]Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach:
Online Neural Networks for Change-Point Detection. CoRR abs/2010.01388 (2020)
2010 – 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 - 2017
- [i2]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) - 2015
- [c1]Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
Distributed Data Replication and Access Optimization for LHCb Storage System. KDIR 2015: 537-540 - [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 2024-11-07 20:31 CET by the dblp team
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