no code implementations • 14 Apr 2021 • Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
In those cases, hierarchical clustering can be seen as a combinatorial optimization problem.
1 code implementation • 16 Nov 2020 • Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer
Particle physics experiments often require the reconstruction of decay patterns through a hierarchical clustering of the observed final-state particles.
1 code implementation • 26 Feb 2020 • Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew Mcgregor, Andrew McCallum
In contrast to existing methods, we present novel dynamic-programming algorithms for \emph{exact} inference in hierarchical clustering based on a novel trellis data structure, and we prove that we can exactly compute the partition function, maximum likelihood hierarchy, and marginal probabilities of sub-hierarchies and clusters.
2 code implementations • 28 Feb 2018 • Sebastian Macaluso, David Shih
We apply computer vision with deep learning -- in the form of a convolutional neural network (CNN) -- to build a highly effective boosted top tagger.
High Energy Physics - Phenomenology High Energy Physics - Experiment