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. Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows: Thorsten Buss et al., arXiv, doi: 10.48550/arXiv.2405.20407
  2. OmniJet-$α$: The first cross-task foundation model for particle physics: Joschka Birk et al., arXiv, doi: 10.48550/arXiv.2403.05618
  3. CaloPointFlow II Generating Calorimeter Showers as Point Clouds: Simon Schnake et al., arXiv, doi: 10.48550/arXiv.2403.15782
  4. CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation: Erik Buhmann et al., arXiv, doi: 10.48550/arXiv.2305.04847
  5. AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization: Sebastian Bieringer et al., arXiv, doi: 10.48550/arXiv.2312.14027