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20232026
most citedImproved particle-flow event reconstruction with scalable neural networks for current and future particle detectors

9 citations · 16 across the 9 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

cs.LG2025

Building Machine Learning Challenges for Anomaly Detection in Science

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148

Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…

hep-ex2025★ 3 cited

Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders

Farouk Mokhtar, Joosep Pata, Dolores Garcia +4

We demonstrate transfer learning capabilities in a machine-learned algorithm trained for particle-flow reconstruction in high energy particle colliders. This paper presents a cross…