The End-to-End Deep Learning (E2E) project focuses on the development of particle and event reconstruction and identification tasks with end-to-end deep learning approaches.
Graph Neural Networks for End-to-End Particle Identification with the CMS Experiment
End-to-End Deep Learning Regression for Measurements with the CMS Experiment