activity
20242026
most citedAnomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing hep-exShow all

2 papers · 1 filter

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ex2025★ 1 cited

Anomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC

Kyle Metzger, Lana Xu, Mia Sodini +4

Anomaly detection - identifying deviations from Standard Model predictions - is a key challenge at the Large Hadron Collider due to the size and complexity of its datasets. This is…