1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.ins-det2024
Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models
Cristiano Fanelli, James Giroux, Justin Stevens
Imaging Cherenkov detectors are crucial for particle identification (PID) in nuclear and particle physics experiments. Fast reconstruction algorithms are essential for near real-ti…
physics.data-an2024★ 1 cited
Physics Event Classification Using Large Language Models
Cristiano Fanelli, James Giroux, Patrick Moran +3
The 2023 AI4EIC hackathon was the culmination of the third annual AI4EIC workshop at The Catholic University of America. This workshop brought together researchers from physics, da…
cs.LG2023
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
Cristiano Fanelli, James Giroux
We introduce a physics-informed Bayesian Neural Network (BNN) with flow approximated posteriors using multiplicative normalizing flows (MNF) for detailed uncertainty quantification…