Elizaveta Gres

According to our database, Elizaveta Gres authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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, March, 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, February, 2025

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, February, 2025

2024

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

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

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

Energy Reconstruction in Analysis of Cherenkov Telescopes Images in TAIGA Experiment Using Deep Learning Methods.

Elizaveta Gres, A. P. Kryukov

CoRR, 2022

2021

The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks.

Elizaveta Gres, Alexander Kryukov

CoRR, 2021