Joosep Pata

According to our database, Joosep Pata authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Scalable neural network models and terascale datasets for particle-flow reconstruction.

Joosep Pata, Eric Wulff, Farouk Mokhtar, David Southwick, Mengke Zhang, Maria Girone, Javier M. Duarte

CoRR, 2023

Progress towards an improved particle flow algorithm at CMS with machine learning.

Farouk Mokhtar, Joosep Pata, Javier M. Duarte, Eric Wulff, Maurizio Pierini, Jean-Roch Vlimant

CoRR, 2023

2022

Hyperparameter optimization of data-driven AI models on HPC systems.

Eric Wulff, Maria Girone, Joosep Pata

CoRR, 2022

Machine Learning for Particle Flow Reconstruction at CMS.

Joosep Pata, Javier M. Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone

CoRR, 2022

Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning.

Abdullah Bazarov, María Benito, Gert Hütsi, Rain Kipper, Joosep Pata, Sven Põder

Astron. Comput., 2022

2021

Explaining machine-learned particle-flow reconstruction.

Farouk Mokhtar, Raghav Kansal, Daniel Diaz, Javier M. Duarte, Joosep Pata, Maurizio Pierini, Jean-Roch Vlimant

CoRR, 2021

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.

Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu

CoRR, 2021

Diolkos: improving ethernet throughput through dynamic port selection.

Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2019

hepaccelerate: Fast Analysis of Columnar Collider Data.

Joosep Pata, Maria Spiropulu

CoRR, 2019