77 citations · 132 across the 7 of their papers we have counts for
4 papers · 1 filter
Data Science and Machine Learning in Education
Gabriele Benelli, Thomas Y. Chen, Javier Duarte +20
The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sop…
Physics Community Needs, Tools, and Resources for Machine Learning
Philip Harris, Erik Katsavounidis, William Patrick McCormack +18
Machine learning (ML) is becoming an increasingly important component of cutting-edge physics research, but its computational requirements present significant challenges. In this w…
Semi-supervised Graph Neural Networks for Pileup Noise Removal
Tianchun Li, Shikun Liu, Yongbin Feng +4
The high instantaneous luminosity of the CERN Large Hadron Collider leads to multiple proton-proton interactions in the same or nearby bunch crossings (pileup). Advanced pileup mit…
Cold Atoms in Space: Community Workshop Summary and Proposed Road-Map
Ivan Alonso, Cristiano Alpigiani, Brett Altschul +246
We summarize the discussions at a virtual Community Workshop on Cold Atoms in Space concerning the status of cold atom technologies, the prospective scientific and societal opportu…