Workshop on Machine Learning and High-Energy Physics

Contribution List

1. Welcome and Organisatorical Remarks

Dr Claudius Krause (HEPHY Vienna (ÖAW))

12/13/23, 9:00 AM

Welcome

2. Welcome to HEPHY

Christoph Schwanda, Christoph Schwanda (Austrian Academy of Sciences (AT))

12/13/23, 9:05 AM

Welcome

3. Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results

Wolfgang Waltenberger (Austrian Academy of Sciences (AT))

12/13/23, 9:15 AM

Morning Session

4. Optimal operation of cryogenic calorimeters through deep reinforcement learning

Felix Wagner (HEPHY Vienna), Felix Wagner (Vienna University of Technology)

12/13/23, 10:30 AM

Morning Session

5. Machine learning for modern radio surveys

Lara Alegre (Heildelberg University)

12/13/23, 11:15 AM

Morning Session

6. A Survey of Machine Learning Methods for Anomaly Detection

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

12/13/23, 2:00 PM

Afternoon Session

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

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

12/13/23, 2:45 PM

Afternoon Session

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

Luigi Favaro

12/13/23, 4:00 PM

Afternoon Session

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))

12/13/23, 4:45 PM

Afternoon Session

10. Tree boosting for learning EFT parameters

Dennis Schwarz (Austrian Academy of Sciences (AT))

12/14/23, 9:15 AM

Morning Session

11. Generative Modelling of Calorimeter Showers and Particle Jets

Thorsten Lars Henrik Buss (Universität Hamburg)

12/14/23, 10:30 AM

Morning Session

12. ML applications in searches for long-lived particles at CMS

Lisa Benato (Hamburg University (DE))

12/14/23, 11:15 AM

Morning Session

13. The MadNIS Reloaded

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

12/14/23, 2:00 PM

Afternoon Session

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

Blaz Bortolato (Institute Josef Stefan)

12/14/23, 2:45 PM

Afternoon Session

19. Flow Unfolding for CP-Observable Reconstruction

Jona Ackerschott (Universite de Geneve (CH))

12/14/23, 4:00 PM

Afternoon Session

17. High Multiplicity with JetGPT - LHC Event Generation with Autoregressive Transformers

Jonas Simon Spinner

12/15/23, 9:00 AM

Morning Session

15. (Direct) Diffusion for LHC Event Generation

Sofia Palacios Schweitzer (ITP, University Heidelberg)

12/15/23, 10:30 AM

Morning Session

16. Precision-Machine Learning for the Matrix Element Method

Nathan Huetsch (Heidelberg University, ITP Heidelberg)

12/15/23, 11:15 AM

Morning Session

18. Foundation Models for HEP

Tobias Golling (Universite de Geneve (CH))

Afternoon Session