2 papers
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…
cs.CV2025
Foundry: Distilling 3D Foundation Models for the Edge
Guillaume Letellier, Siddharth Srivastava, Frédéric Jurie +1
Foundation models pre-trained with self-supervised learning (SSL) on large-scale datasets have become powerful general-purpose feature extractors. However, their immense size and c…