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physics.data-an2021★ 55 cited
Point Cloud Transformers applied to Collider Physics
Vinicius Mikuni, Florencia Canelli
Methods for processing point cloud information have seen a great success in collider physics applications. One recent breakthrough in machine learning is the usage of Transformer n…
physics.data-an2020★ 51 cited
Unsupervised clustering for collider physics
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 c…
physics.data-an2020★ 98 cited
ABCNet: An attention-based method for particle tagging
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. To expand on…