91 citations · 339 across the 6 of their papers we have counts for
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hep-ph2017★ 78 cited
Novel Jet Observables from Machine Learning
Kaustuv Datta, Andrew J. Larkoski
Previous studies have demonstrated the utility and applicability of machine learning techniques to jet physics. In this paper, we construct new observables for the discrimination o…
hep-ph2017★ 91 cited
How Much Information is in a Jet?
Kaustuv Datta, Andrew Larkoski
Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different…