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hep-ph2026
JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics
Guillaume Letellier, Antonin Vacheret, Frédéric Jurie
Jet tagging at the Large Hadron Collider increasingly relies on deep learning models trained on massive simulated datasets, leading to high computational costs and limited robustne…
hep-ph2026
Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers
Giorgio Morales, Gregory Lehaut, Antonin Vacheret +2
Neutrino oscillations encode fundamental information about neutrino masses and mixing parameters, offering a unique window into physics beyond the Standard Model. Estimating these…