E. Gres and A. Kryukov. Energy reconstruction in analysis of Cherenkov telescopes images in TAIGA experiment using deep learning methods. PoS (2022), v.429, p.002

S. Polyakov, A. Kryukov, A. Demichev, J. Dubenskaya, E. Gres and A.A. Vlaskina. Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes. PoS (2022), v.429, p.003

J. Dubenskaya, A. Kryukov, A. Demichev, S. Polyakov, E. Gres and A.A. Vlaskina. Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis. PoS (2022), v.429, p.022.

A.A. Vlaskina and A. Kryukov. Application of convolutional neural networks for data analysis in TAIGA-HiSCORE experiment. PoS (2022), v.429, p.006

The 6th International Workshop of Deep Learning in Computational Physics, DLCP2022

37-я Всероссийская конференция по космическим лучам, ВККЛ-2022

The 14th International School on Neutrino Physics and Astrophysics