Published February 19, 2024 | Version v1

DistillNet: Distilling particle knowledge for fast reconstruction at high-energy physics experiments

Description

Dataset to the paper https://doi.org/10.48550/arXiv.2311.12551, which describes the knowledge distillation process of a graph neural network into a dense feed-forward MLP for the example of high-energy physics at the Large Hadron Collider.

Files

Files (24.0 GB)

Name Size
md5:7995cf757d2a0e94cf549eea718e2238
9.4 GB Download
md5:dc24649117b37defa9d5281e1b4ba12e
14.6 GB Download

Additional details

Software

Repository URL
https://github.com/tbrandes01/DistillNet
Programming language
Python