7 citations · 14 across the 4 of their papers we have counts for
12 papers
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis
Julia Dubenskaya, Alexander Kryukov, Andrey Demichev +3
Generative adversarial networks are a promising tool for image generation in the astronomy domain. Of particular interest are conditional generative adversarial networks (cGANs), w…
Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes
Stanislav Polyakov, Alexander Kryukov, Andrey Demichev +3
High-energy particles hitting the upper atmosphere of the Earth produce extensive air showers that can be detected from the ground level using imaging atmospheric Cherenkov telesco…
Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs
Julia Dubenskaya, Stanislav Polyakov
We propose an approach to utilize idle computational resources of supercomputers. The idea is to maintain an additional queue of low-priority non-parallel jobs and execute them in…
Data Aggregation In The Astroparticle Physics Distributed Data Storage
Minh-Duc Nguyen, Alexander Kryukov, Julia Dubenskaya +4
German-Russian Astroparticle Data Life Cycle Initiative is an international project whose aim is to develop a distributed data storage system that aggregates data from the storage…
German-Russian Astroparticle Data Life Cycle Initiative
Andreas Haungs, Igor Bychkov, Julia Dubenskaya +19
A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astro…
Distributed data storage for modern astroparticle physics experiments
Alexander Kryukov, Minh-Duc Nguyen, Igor Bychkov +3
The German-Russian Astroparticle Data Life Cycle Initiative is an international project launched in 2018. The Initiative aims to develop technologies that provide a unified approac…