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Fedor Ratnikov
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2020 – today
- 2024
- [j3]Alexander Rogachev, Fedor Ratnikov:
Soft Margin Spectral Normalization for GANs. Comput. Softw. Big Sci. 8(1): 12 (2024) - 2023
- [i11]Foma Shipilov, Alexander Barnyakov, Vladimir Bobrovnikov, Sergey Kononov, Fedor Ratnikov:
What Machine Learning Can Do for Focusing Aerogel Detectors. CoRR abs/2312.02652 (2023) - 2022
- [j2]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) - [i10]Arsenii Gavrikov, Yury Malyshkin, Fedor Ratnikov:
Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach. CoRR abs/2206.09040 (2022) - 2020
- [j1]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. J. Mach. Learn. Res. 21: 72:1-72:22 (2020) - [i9]Fedor Ratnikov, Denis Derkach, A. Boldyrev, Andrey Shevelev, P. Fakanov, L. Matyushin:
Using machine learning to speed up new and upgrade detector studies: a calorimeter case. CoRR abs/2003.05118 (2020) - [i8]Fedor Ratnikov:
Generative Adversarial Networks for LHCb Fast Simulation. CoRR abs/2003.09762 (2020) - [i7]Fedor Ratnikov:
Using Machine Learning to Speed Up and Improve Calorimeter R&D. CoRR abs/2003.12440 (2020)
2010 – 2019
- 2019
- [i6]Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova:
Cherenkov Detectors Fast Simulation Using Neural Networks. CoRR abs/1903.11788 (2019) - [i5]Maxim Borisyak, Artem Ryzhikov, Andrey Ustyuzhanin, Denis Derkach, Fedor Ratnikov, Olga Mineeva:
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets. CoRR abs/1906.06096 (2019) - 2018
- [i4]Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov:
Generative Models for Fast Calorimeter Simulation.LHCb case. CoRR abs/1812.01319 (2018) - 2017
- [i3]Maxim Borisyak, Fedor Ratnikov, Denis Derkach, Andrey Ustyuzhanin:
Towards automation of data quality system for CERN CMS experiment. CoRR abs/1709.08607 (2017) - [i2]V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol, Fedor Ratnikov, Filip Siroky, Andrey Ustyuzhanin, Jean-Roch Vlimant:
Deep learning for inferring cause of data anomalies. CoRR abs/1711.07051 (2017)
2000 – 2009
- 2003
- [i1]A. Baranovski, Gabriele Garzoglio, Arthur Kreymer, Lee Lueking, Stefan Stonjek, Igor Terekhov, Frank Würthwein, Alain Roy, P. Mhashikar, V. Murthi, Todd Tannenbaum, Rod Walker, Fedor Ratnikov, T. Rockwell:
Management of Grid Jobs and Information within SAMGrid. CoRR cs.DC/0307007 (2003)
Coauthor Index
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