Mikhail Hushchyn

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Change Point Detection

Stochastic Differential Equations

Top Venues

Comput. Softw. Big Sci.

Astron. Comput.

Publications

Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. CoRR (2024)
Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
Latent Stochastic Differential Equations for Change Point Detection. IEEE Access 11 (2023)
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) (2023)
Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn
Performance Modeling of Data Storage Systems using Generative Models. CoRR (2023)
R. Aaij, Marta Adinolfi, Salvatore Aiola, S. Akar, J. Albrecht, M. Alexander, S. Amato, Yasmine Amhis, F. Archilli, M. Bala, G. Bassi, L. Bian, M. P. Blago, T. Boettcher, A. Boldyrev, S. Borghi, A. Brea Rodriguez, L. 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, L. 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, M. 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, S. 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, M. Santimaria, M. Saur, Manuel T. Schiller, Rainer Schwemmer, Barbara Sciascia, A. Solomin, F. Suljik, N. Skidmore, Michael D. Sokoloff, P. Spradlin, M. Stahl, S. Stahl, H. Stevens, L. Sun, A. Szabelski, Tomasz Szumlak, M. Szymanski, D. Y. Tou, G. Tuci, A. Usachov, Núria Valls Canudas, R. Vazquez Gomez, S. Vecchi, Mika Vesterinen, Xavier Vilasis-Cardona, Dorothea Vom Bruch, Z. Wang, Tomasz Wojton, Mark Whitehead, M. 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)
Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
Latent Neural Stochastic Differential Equations for Change Point Detection. CoRR (2022)
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 (2022)
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 (2022)
Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin
Online detection of failures generated by storage simulator. CoRR (2021)
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 (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
The Tracking Machine Learning challenge : Throughput phase. CoRR (2021)
Mikhail Hushchyn, Andrey Ustyuzhanin
Generalization of change-point detection in time series data based on direct density ratio estimation. J. Comput. Sci. 53 (2021)
Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog. CoRR (2020)
Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach
Online Neural Networks for Change-Point Detection. CoRR (2020)
Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn
Variational Dropout Sparsification for Particle Identification speed-up. CoRR (2020)
Mikhail Hushchyn, Andrey Ustyuzhanin
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. CoRR (2020)
Paolo Calafiura, Steven Farrell, Heather 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)
Mikhail Hushchyn, Andrey Ustyuzhanin, Philippe Charpentier, Christophe Haen
GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets. CoRR (2017)
Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
Disk storage management for LHCb based on Data Popularity estimator. CoRR (2015)
Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
Distributed Data Replication and Access Optimization for LHCb Storage System. KDIR (2015)