https://doi.org/10.1140/epjs/s11734-024-01364-3
Editorial
Modern machine learning and particle physics: an in-depth review
1
Centre for High Energy Physics, Indian Institute of Science, Bengaluru, India
2
Department of Physics, Indian Institute of Technology, Kanpur, India
Modern machine learning (ML) techniques are ubiquitous in the field of particle physics. These ML models are primarily meant for exploiting large amounts of high-dimensional data to reduce complexity and extract as much information as possible from data. This special issue presents a series of ten contributions in the area of application of modern ML techniques in theoretical and experimental particle physics.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024
