1–2 Jul 2024
DESY Campus Hamburg
Europe/Berlin timezone

Generative Machine Learning at CMS

1 Jul 2024, 16:55
15m
Seminar Room 4a/b (DESY Campus Hamburg)

Seminar Room 4a/b

DESY Campus Hamburg

Speaker

Simon Patrik Schnake (CMS (CMS Fachgruppe Searches))

Description

The CMS Generative Machine Learning Group will showcase three distinct projects, each utilizing point cloud-based generative models to advance particle physics research. The first project, "Attention to Mean Fields for Particle Cloud Generation", features an attention-based generative model that adeptly processes complex collider data represented as point clouds, demonstrating effectiveness on the JetNet150 and CaloChallenge datasets. The second project, "DeepTreeGAN", explores novel techniques for iterative up- and downscaling of point clouds, inspired by the tree-based development of particle showers. Finally, "CaloPointFlow" presents a generative model using normalizing flows.

Primary authors

Benno Kaech (CMS (CMS Fachgruppe Searches)) Dirk Kruecker (CMS (CMS Fachgruppe Searches)) Isabell Melzer-Pellmann (Deutsches Elektronen-Synchrotron DESY) Kerstin Borras (DESY and RWTH Aachen University) Moritz Scham (CMS (CMS Fachgruppe Searches)) Simon Patrik Schnake (CMS (CMS Fachgruppe Searches))

Presentation materials