Robust Jet Classifiers through Distance Correlation
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72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Engineering topics
Shih, David
Publications and source records attributed to Shih, David.
Anomaly detection with density estimation
Not Available
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Searching for new physics with deep autoencoders
Not Available
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Boosted W and Z tagging with jet charge and deep learning
Not Available
79 ASTRONOMY AND ASTROPHYSICS↗
Maximizing the impact of new physics in b → c τ ν anomalies
Not Available
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
The Machine Learning landscape of top taggers
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established methods they rely on low-level input, for instance calorimeter output. While their network architectures are vastly different, their performance is comparatively similar. In general, we find that these new approaches are extremely powerful and great fun.
97 MATHEMATICS AND COMPUTING↗