Research Projects

• Introducing JetCLR to solve the mapping from low-level jet data to optimized observables through self-supervised contrastive learning [read more]
• Studying the performance and resilience of quark-gluon tagging using a Bayesian version of the ParticleNet(-Lite) subjet tagger [read more]