Mikhail Hushchyn

23 papers A 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online Neural Networks for Change-Point Detection. Mach. Learn. Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach
2025	J	`jnl`	Performance Modeling of Data Storage Systems Using Generative Models. IEEE Access Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn
2024	A	`conf`	Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. ECAI Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach
2024	J	`jnl`	Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space. CoRR Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach
2023	J	`jnl`	Latent Stochastic Differential Equations for Change Point Detection. IEEE Access Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
2023	J	`jnl`	Performance Modeling of Data Storage Systems using Generative Models. CoRR Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn
2023	J	`jnl`	The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 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
2022	J	`jnl`	A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. Comput. Softw. Big Sci. 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, Alexey Boldyrev, S. Borghi, A. Brea Rodriguez, Lukas Calefice, M. Calvo Gomez, Daniel Hugo Cámpora Pérez, A. Cardini, Marco Cattaneo, V. Chobanova, G. Ciezarek, Xabier 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, Laurent Dufour, Paolo Durante, A. Dziurda, A. Dzyuba, S. Easo, S. Esen, Placido Fernandez Declara, Sergey 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, Federico Lazzari, R. Le Gac, P. Li, J. H. Lopes, M. Lucio Martinez, Anna Lupato, Oliver Lupton, X. Lyu, F. Machefert, Olga Madejczyk, S. Malde, J. F. Marchand, Saverio Mariani, Carla Marin Benito, D. Martinez Santos, F. Martinez Vidal, Rosen Matev, Michal Mazurek, Biljana Mitreska, Dominik Stefan Mitzel, Michael Joseph 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, Miguel Ramos Pernas, M. S. Rangel, Fedor Ratnikov, Gerhard 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, Holger Stevens, L. Sun, A. Szabelski, Tomasz Szumlak, M. Szymanski, D. Y. Tou, Giulia Tuci, Andrii 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
2022	J	`jnl`	Latent Neural Stochastic Differential Equations for Change Point Detection. CoRR Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
2022	J	`jnl`	Supernova Light Curves Approximation based on Neural Network Models. CoRR Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2022	J	`jnl`	Toward an understanding of the properties of neural network approaches for supernovae light curve approximation. CoRR Mariia Demianenko, Konstantin L. Malanchev, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Denis Derkach, Mikhail Hushchyn
2021	J	`jnl`	Generalization of change-point detection in time series data based on direct density ratio estimation. J. Comput. Sci. Mikhail Hushchyn, Andrey Ustyuzhanin
2021	J	`jnl`	Online detection of failures generated by storage simulator. CoRR Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin
2021	J	`jnl`	Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog. Astron. Comput. Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2021	J	`jnl`	The Tracking Machine Learning challenge : Throughput phase. CoRR 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
2020	J	`jnl`	Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. CoRR Mikhail Hushchyn, Andrey Ustyuzhanin
2020	J	`jnl`	Online Neural Networks for Change-Point Detection. CoRR Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach
2020	J	`jnl`	Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog. CoRR Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn
2020	J	`jnl`	Variational Dropout Sparsification for Particle Identification speed-up. CoRR Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn
2018	—	`conf`	TrackML: A High Energy Physics Particle Tracking Challenge. eScience 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
2017	J	`jnl`	GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets. CoRR Mikhail Hushchyn, Andrey Ustyuzhanin, Philippe Charpentier, Christophe Haen
2015	J	`jnl`	Disk storage management for LHCb based on Data Popularity estimator. CoRR Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin
2015	—	`conf`	Distributed Data Replication and Access Optimization for LHCb Storage System. KDIR Mikhail Hushchyn, Philippe Charpentier, Andrey Ustyuzhanin