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11/28/2022
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis
Generative adversarial networks are a promising tool for image generatio...
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11/22/2022
Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes
High-energy particles hitting the upper atmosphere of the Earth produce ...
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12/31/2021
Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks
Extensive air showers created by high-energy particles interacting with ...
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09/01/2019
Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs
We propose an approach to utilize idle computational resources of superc...
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07/23/2019
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy
Deep learning techniques, namely convolutional neural networks (CNN), ha...
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12/05/2018
