Jonas Eschle

Orcid: 0000-0002-7312-3699

According to our database1, Jonas Eschle authored at least 8 papers between 2018 and 2025.

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Bibliography

2025
Analysis Facilities for the HL-LHC White Paper.
Comput. Softw. Big Sci., December, 2025

Vector: JIT-compilable mathematical manipulations of ragged Lorentz vectors.
J. Open Source Softw., June, 2025

Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks.
CoRR, April, 2025

2023
GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton-Proton Collisions.
Comput. Softw. Big Sci., December, 2023

Potential of the Julia Programming Language for High Energy Physics Computing.
Comput. Softw. Big Sci., December, 2023

2020
zfit: Scalable pythonic fitting.
SoftwareX, 2020

2019
phasespace: n-body phase space generation in Python.
J. Open Source Softw., 2019

2018
Machine Learning in High Energy Physics Community White Paper.
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CoRR, 2018


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