Workshop on Machine Learning and High-Energy Physics

Session

Afternoon Session

13 Dec 2023, 14:00

Seminar room 1 + 2 (Campus Akademie)

6. A Survey of Machine Learning Methods for Anomaly Detection

Radha Mastandrea (University of California, Berkeley), Radha Mastandrea (LBNL)

13/12/2023, 14:00

7. Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

Michael Kramer (Rheinisch Westfaelische Tech. Hoch. (DE))

13/12/2023, 14:45

8. Semi-visible jets, energy-based models, and self-supervision

Luigi Favaro

13/12/2023, 16:00

9. Hunting for di-Higgs in hadronic final states: showcasing Machine Learning for modelling of hadronic backgrounds and elucidating rare signals

Nicole Michelle Hartman (TUM (DE))

13/12/2023, 16:45

13. The MadNIS Reloaded

Theo Heimel (Universität Heidelberg), Theo Heimel (Heidelberg University)

14/12/2023, 14:00

14. Machine learning methods & Ultra-High Energy Cosmic Rays

Blaz Bortolato (Institute Josef Stefan)

14/12/2023, 14:45

19. Flow Unfolding for CP-Observable Reconstruction

Jona Ackerschott (Universite de Geneve (CH))

14/12/2023, 16:00

18. Foundation Models for HEP

Tobias Golling (Universite de Geneve (CH))