Search Results for author: Vinicius Mikuni

Found 3 papers, 2 papers with code

Point Cloud Transformers applied to Collider Physics

1 code implementation9 Feb 2021 Vinicius Mikuni, Florencia Canelli

Methods for processing point cloud information have seen a great success in collider physics applications.

Unsupervised clustering for collider physics

no code implementations28 Sep 2020 Vinicius Mikuni, Florencia Canelli

We propose a new method for Unsupervised clustering in particle physics named UCluster, where information in the embedding space created by a neural network is used to categorise collision events into different clusters that share similar properties.

Data Analysis, Statistics and Probability High Energy Physics - Experiment

ABCNet: An attention-based method for particle tagging

2 code implementations13 Jan 2020 Vinicius Mikuni, Florencia Canelli

In high energy physics, graph-based implementations have the advantage of treating the input data sets in a similar way as they are collected by collider experiments.

Data Analysis, Statistics and Probability High Energy Physics - Phenomenology

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