Machine Learning and generative modeling in particle physics analysis and simulation

Contacts

To get in touch with the particles team, please contact Frank Gaede

Team Members

  1. Frank Gaede

Related projects

Recent publications

  1. OmniJet-${α_{ C}}$: Learning point cloud calorimeter simulations using generative transformers: Joschka Birk et al., arXiv, doi: 10.48550/arXiv.2501.05534
  2. Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows: Thorsten Buss et al., arXiv, doi: 10.48550/arXiv.2405.20407
  3. OmniJet-$α$: The first cross-task foundation model for particle physics: Joschka Birk et al., arXiv, doi: 10.48550/arXiv.2403.05618
  4. CaloPointFlow II Generating Calorimeter Showers as Point Clouds: Simon Schnake et al., arXiv, doi: 10.48550/arXiv.2403.15782
  5. Calibrating Bayesian Generative Machine Learning for Bayesiamplification: Sebastian Bieringer et al., arXiv, doi: 10.48550/arXiv.2408.00838