Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. - Joschka Birk; Erik Buhmann; Cedric Ewen; Gregor Kasieczka; David Shih (CoRR, 2023)

Umami: A Python toolkit for jet flavour tagging. - Jackson Barr; Joschka Birk; Maxence Draguet; Stefano Franchellucci; Alexander Froch; Philipp Gadow; Daniel Hay Guest; Manuel Guth; Nicole Michelle Hartman; Michael Kagan; Osama Karkout; Dmitrii Kobylianskii; et al. (J. Open Source Softw., 2024)

OmniJet-α: the first cross-task foundation model for particle physics. - Joschka Birk; Anna Hallin; Gregor Kasieczka (Mach. Learn. Sci. Technol., 2024)

Aspen Open Jets: a real-world ML-ready dataset for jet physics. - Oz Amram; Luca Anzalone; Joschka Birk; Darius A. Faroughy; Anna Hallin; Gregor Kasieczka; Michael Krämer; Ian Pang; Humberto Reyes-González; David Shih (UHH-FDR, 2024)

Aspen Open Jets: unlocking LHC data for foundation models in particle physics. - Oz Amram; Luca Anzalone; Joschka Birk; Darius A. Faroughy; Anna Hallin; Gregor Kasieczka; Michael Krämer; Ian Pang; Humberto Reyes-González; David Shih (Mach. Learn. Sci. Technol., 2025)

OmniJet-αC: Learning point cloud calorimeter simulations using generative transformers. - Joschka Birk; Frank Gaede; Anna Hallin; Gregor Kasieczka; Martina Mozzanica; Henning Rose (CoRR, 2025)