Application of machine learning algorithms in the context of astroparticle physics and photonics
- Development of deep-learning-based event reconstruction algorithms for gamma-ray observatories (graph networks, attention-based architectures, and convolutional neural networks)
- Development of machine-learning and deep-learning-based classifiers for background rejection
- Analysis of stereoscopic observation data (multi-view image reconstruction)
- Acceleration of air shower simulations using deep generative models
- Application of clustering algorithms to gamma-ray data
- Anomaly detection using deep learning
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Application of machine learning algorithms in the context of astroparticle physics and photonics
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