JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics
Researchers have developed JetParticle-JEPA (JP-JEPA), a novel self-supervised learning method for jet tagging in high-energy physics. This approach, built on a Particle Transformer, learns meaningful representations directly from particle data without requiring extensive labeled datasets. JP-JEPA demonstrates performance comparable to supervised methods on benchmarks like JetClass, and shows improved robustness to detector mismodeling and data limitations. AI