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09/05/2023
Extended Symmetry Preserving Attention Networks for LHC Analysis
Reconstructing unstable heavy particles requires sophisticated technique...
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05/17/2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
High-energy collisions at the Large Hadron Collider (LHC) provide valuab...
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10/20/2022
Machine-Learning Compression for Particle Physics Discoveries
In collider-based particle and nuclear physics experiments, data are pro...
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09/15/2022
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
The rapidly-developing intersection of machine learning (ML) with high-e...
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06/07/2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention
The creation of unstable heavy particles at the Large Hadron Collider is...
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10/19/2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
Top quarks are the most massive particle in the Standard Model and are p...
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03/10/2017