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Javier Duarte — most-cited papers & profile · Graph Learning
← authors
·
overview
Javier Duarte
14
papers ·
1
citations
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Semantic Scholar ↗
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Most-cited papers
Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction
2025
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
2020
Charged particle tracking via edge-classifying interaction networks
2021
Explaining machine-learned particle-flow reconstruction
2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
2021
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
2022
Do graph neural networks learn traditional jet substructure?
2022
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs
2023
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
2024
Top co-authors
Farouk Mokhtar
· 3
Gage DeZoort
· 3
Maurizio Pierini
· 3
Mia Liu
· 3
Raghav Kansal
· 3
Daniel Diaz
· 2
Jean-Roch Vlimant
· 2
Mark S. Neubauer
· 2
Pan Li
· 2
Savannah Thais
· 2
Shih-Chieh Hsu
· 2
Siqi Miao
· 2
Topics
hep-ex
cs.LG
physics.ins-det
physics.data-an
hep-ph
cs.AR