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ORCIDMikhail Hushchyn
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2020 – today
- 2024
[c3]Tigran Ramazyan
, Mikhail Hushchyn, Denis Derkach:
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, Mikhail Hushchyn, Denis Derkach:
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, 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) - [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, M. Alexander, S. Amato, Yasmine Amhis, F. Archilli, M. Bala, G. Bassi, L. Bian, M. P. Blago, Thomas Boettcher, A. Boldyrev, S. Borghi, A. Brea Rodriguez, Lukas Calefice, M. Calvo Gomez, Daniel Hugo Cámpora Pérez, A. Cardini, Marco Cattaneo, V. Chobanova, G. Ciezarek, X. Cid Vidal, J. L. Cobbledick, J. A. B. Coelho, Tommaso Colombo, A. Contu, Benjamin Couturier, Daniel C. Craik, R. Currie, P. d'Argent, Michel De Cian, Denis Derkach, F. Dordei, Marco Dorigo, L. Dufour, Paolo Durante, A. Dziurda, A. Dzyuba, S. Easo, S. Esen, Placido Fernandez Declara, S. Filippov, Conor Fitzpatrick, M. Frank, Paolo Gandini, Vladimir V. Gligorov, Elisabet Golobardes, G. Graziani, L. Grillo, P. A. Günther, S. Hansmann-Menzemer, Arthur M. Hennequin, Louis Henry, D. Hill, S. E. Hollitt, J. Hu, W. Hulsbergen, R. J. Hunter, Mikhail Hushchyn, Brij Kishor Jashal, Christopher Robert Jones, S. Klaver, Konrad Klimaszewski, R. Kopecna, Wojciech Krzemien, Marcin Kucharczyk, R. Lane, F. Lazzari, R. Le Gac, P. Li, J. H. Lopes, M. Lucio Martinez, A. Lupato, Oliver Lupton, X. Lyu, F. Machefert, O. Madejczyk, S. Malde, J. F. Marchand, Saverio Mariani, Carla Marin Benito, D. Martinez Santos, F. Martinez Vidal, R. Matev, Michal Mazurek, B. Mitreska, D. S. Mitzel, M. J. Morello, H. Mu, P. Muzzetto, P. Naik, Matthew D. Needham, N. Neri, Niko Neufeld, N. S. Nolte, Daniel O'Hanlon, A. Oyanguren Campos, M. Pepe Altarelli, S. Petrucci, Marco Petruzzo, L. Pica, Flavio Pisani, A. Piucci, Francesco Polci, A. Poluektov, E. Polycarpo, C. Prouve, Giovanni Punzi, Renato Quagliani, R. I. Rabadan Trejo, M. Ramos Pernas, M. S. Rangel, Fedor Ratnikov, G. Raven, F. Reiss, V. Renaudin, P. Robbe, Artem Ryzhikov, Marco Santimaria, M. Saur, Manuel T. Schiller, Rainer Schwemmer, Barbara Sciascia, A. Solomin, F. Suljik, Nicola Skidmore, Michael D. Sokoloff, P. Spradlin, M. Stahl, S. Stahl, H. Stevens, L. Sun, A. Szabelski, Tomasz Szumlak, M. Szymanski, D. Y. Tou, Giulia Tuci, A. Usachov, Núria Valls Canudas, R. Vazquez Gomez, Stefania Vecchi, Mika Vesterinen, Xavier Vilasís-Cardona, Dorothea Vom Bruch, Z. Wang, Tomasz Wojton, Mark Whitehead, Mike Williams, Mariusz Witek, Y. Xie, A. Xu, H. Yin, Milosz Zdybal, O. Zenaiev, D. Zhang, L. Zhang, X. Zhu, The LHCb Collaboration:
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. Comput. Softw. Big Sci. 6(1) (2022) - [i11]Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn:
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, Konstantin L. Malanchev, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Denis Derkach, Mikhail Hushchyn:
Toward an understanding of the properties of neural network approaches for supernovae light curve approximation. CoRR abs/2209.07542 (2022) - 2021
- [j2]Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn:
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, 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 - [d2]Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Laurent Basara, Victor Estrade, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Mikhail Hushchyn, Andrey Ustyuzhanin, Edward Moyse, Cécile Germain, Isabelle Guyon:
TrackML Throughput Phase. Zenodo, 2018
- [d1]Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Victor Estrade, Laurent Basara, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Andrey Ustyuzhanin, Mikhail Hushchyn, Edward Moyse, Cécile Germain, Isabelle Guyon:
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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