Search Results for author: Sebastian Macaluso

Found 4 papers, 3 papers with code

Hierarchical clustering in particle physics through reinforcement learning

1 code implementation16 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.

Clustering reinforcement-learning +1

Data Structures & Algorithms for Exact Inference in Hierarchical Clustering

1 code implementation26 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.

Clustering Small Data Image Classification

Pulling Out All the Tops with Computer Vision and Deep Learning

2 code implementations28 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

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