Fault Tolerance of Small-World Regular and Stochastic Interconnection Networks. - Andrey Demichev; Viatcheslav A. Ilyin; Alexander P. Kryukov; Stanislav Polyakov (CoRR, 2013)

A Quality and Cost Approach for Comparison of Small-World Networks - Andrey Demichev; Viatcheslav A. Ilyin; Alexander P. Kryukov; Stanislav Polyakov (CoRR, 2013)

A Quality and Cost Approach for the Comparison of Small-World Interconnection Networks. - Andrey Demichev; Viatcheslav A. Ilyin; Alexander P. Kryukov; Stanislav Polyakov (J. Interconnect. Networks, 2013)

Web Toolkit for Scientific Research: State of the Art and the Prospect for Development. - Stanislav P. Polyakov; Andrey P. Demichev; Alexander P. Kryukov (CoRR, 2016)

Web platforms for scientific research. - Alexander P. Kryukov; Andrey P. Demichev; Stanislav P. Polyakov (Program. Comput. Softw., 2016)

Using Binary File Format Description Languages for Documenting, Parsing, and Verifying Raw Data in TAIGA Experiment. - Igor V. Bychkov; Andrey Demichev; Julia Y. Dubenskaya; Oleg L. Fedorov; Aleksey E. Hmelnov; Yulia Kazarina; Elena Korosteleva; Dmitriy Kostunin; Alexander P. Kryukov; Andrey A. Mikhailov; Minh-Duc Nguyen; Stanislav Polyakov; et al. (CoRR, 2018)

Particle identification in ground-based gamma-ray astronomy using convolutional neural networks. - E. B. Postnikov; Igor V. Bychkov; Julia Y. Dubenskaya; Oleg L. Fedorov; Y. A. Kazarina; Elena Korosteleva; Alexander P. Kryukov; Andrey A. Mikhailov; Minh-Duc Nguyen; Stanislav P. Polyakov; Alexey O. Shigarov; D. A. Shipilov; et al. (CoRR, 2018)

A distributed data warehouse system for astroparticle physics. - Minh-Duc Nguyen; Alexander P. Kryukov; Julia Y. Dubenskaya; Elena Korosteleva; Stanislav Polyakov; Evgeny Postnikov; Igor V. Bychkov; Andrey A. Mikhailov; Alexey O. Shigarov; Oleg L. Fedorov; Yulia Kazarina; Dmitry Shipilov; et al. (CoRR, 2018)

Russian-German Astroparticle Data Life Cycle Initiative. - Igor V. Bychkov; Andrey Demichev; Julia Y. Dubenskaya; Oleg L. Fedorov; Andreas Haungs; Andreas Heiss; Donghwa Kang; Yulia Kazarina; Elena Korosteleva; Dmitriy Kostunin; Alexander P. Kryukov; Andrey A. Mikhailov; et al. (Data, 2018)

Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy. - Evgeny Postnikov; Alexander P. Kryukov; Stanislav Polyakov; Dmitry P. Zhurov (CoRR, 2019)

Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs. - Julia Y. Dubenskaya; Stanislav Polyakov (CoRR, 2019)

Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks. - Stanislav Polyakov; Andrey Demichev; Alexander Kryukov; Evgeny Postnikov (CoRR, 2021)

Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes. - Stanislav Polyakov; Alexander Kryukov; Andrey Demichev; Julia Y. Dubenskaya; Elizaveta Gres; Anna Vlaskina (CoRR, 2022)

Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis. - Julia Y. Dubenskaya; Alexander Kryukov; Andrey Demichev; Stanislav Polyakov; Elizaveta Gres; Anna Vlaskina (CoRR, 2022)

Selection of gamma events from IACT images with deep learning methods. - Elizaveta Gres; Alexander P. Kryukov; Andrey P. Demichev; Julia J. Dubenskaya; Stanislav P. Polyakov; Anna Vlaskina; Dmitry P. Zhurov (CoRR, 2024)

Gamma/hadron separation in the TAIGA experiment with neural network methods. - Elizaveta Gres; A. P. Kryukov; P. A. Volchugov; Julia J. Dubenskaya; Dmitry P. Zhurov; Stanislav Polyakov; E. B. Postnikov; Anna Vlaskina (CoRR, 2025)

Evaluation of EAS directions based on TAIGA HiSCORE data using fully connected neural networks. - A. P. Kryukov; Stanislav P. Polyakov; Yu. Yu. Dubenskaya; Elizaveta Gres; E. B. Postnikov; P. A. Volchugov; Dmitry P. Zhurov (CoRR, 2025)

Image Data Augmentation for the TAIGA-IACT Experiment with Conditional Generative Adversarial Networks. - Yu. Yu. Dubenskaya; A. P. Kryukov; Elizaveta Gres; Stanislav P. Polyakov; E. B. Postnikov; P. A. Volchugov; Anna Vlaskina; Dmitry P. Zhurov (CoRR, 2025)