From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation
Liangyu Wu, Qibin Liu, Alexander Yue +1
The paper introduces NEXUS, a lightweight autoencoder foundation model with ~3 M parameters that is pretrained on Large Hadron Collider track data and fine‑tuned for collider tasks…
physics.data-an2025
Variational Autoencoders for At-Source Data Reduction and Anomaly Detection in High Energy Particle Detectors
Alexander Yue, Haoyi Jia, Julia Gonski
Detectors in next-generation high-energy physics experiments face several daunting requirements, such as high data rates, damaging radiation exposure, and stringent constraints on…