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Found 5 papers, 1 papers with code
Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds
In particular, for atom clouds used in atom interferometry experiments, the system can reconstruct 3D fringe patterns with size $\mathcal{O}$(100 $\mu$m).
Machine Learning in High Energy Physics Community White Paper
In this document we discuss promising future research and development areas for machine learning in particle physics.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
Weakly Supervised Classification in High Energy Physics
As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations.
Jet-Images -- Deep Learning Edition
Building on the notion of a particle physics detector as a camera and the collimated streams of high energy particles, or jets, it measures as an image, we investigate the potential of machine learning techniques based on deep learning architectures to identify highly boosted W bosons.
Fuzzy Jets
Collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets.
