6 papers
First observation of the decay
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1072
The decay is observed for the first time using proton-proton collision data collected by the LHCb experiment at a center-of-mass energy of …
End-to-End Optimal Detector Design with Mutual Information Surrogates
Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler +3
We introduce a novel approach for end-to-end black-box optimization of high energy physics (HEP) detectors using local deep learning (DL) surrogates. These surrogates approximate a…
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
Ke Wang, Nikolaos Dimitriadis, Alessandro Favero +3
Fine-tuning pre-trained models has become the standard approach to endow them with specialized knowledge, but it poses fundamental challenges. In particular, \textit{(i)} fine-tuni…
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis, Pascal Frossard, Francois Fleuret
Multi-task trade-offs in machine learning can be addressed via Pareto Front Learning (PFL) methods that parameterize the Pareto Front (PF) with a single model. PFL permits to selec…
Centrality dependence of Lévy-stable two-pion Bose-Einstein correlations in GeV AuAu collisions
PHENIX Collaboration, N. J. Abdulameer, U. Acharya +394
The PHENIX experiment measured the centrality dependence of two-pion Bose-Einstein correlation functions in ~GeV AuAu collisions at the Relativistic Heavy…
Jet modification via -hadron correlations in AuAu collisions at GeV
PHENIX Collaboration, N. J. Abdulameer, U. Acharya +532
High-momentum two-particle correlations are a useful tool for studying jet-quenching effects in the quark-gluon plasma. Angular correlations between neutral-pion triggers and charg…