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Between Models and Reality: School on Machine Learning in Physics

2–6 Jun 2025
Niels Bohr Institute
Europe/Copenhagen timezone

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Contribution List

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  1. 1. Arrival, Breakfast, Registration
    Troels Petersen (Niels Bohr Institute)
    02/06/2025, 08:30
  2. 2. Scope of School and Lecture 1: Introduction and overview of Machine Learning
    Troels Petersen (Niels Bohr Institute)
    02/06/2025, 09:30
  3. 3. Lecture 2: Basics of Machine Learning & Fast Data Loaders
    Inar Timiryasov (NBI), Troels Petersen (Niels Bohr Institute)
    02/06/2025, 11:00
  4. 4. Discussion of Lectures and Introduction to exercises
    Daniel Murnane (Niels Bohr Institute, University of Copenhagen)
    02/06/2025, 13:15
  5. 5. Work on exercises
    Daniel Murnane (Niels Bohr Institute, University of Copenhagen), Rasmus Ørsøe (TUM), Troels Petersen (Niels Bohr Institute)
    02/06/2025, 14:00
  6. 6. Work on exercises
    Daniel Murnane (Niels Bohr Institute, University of Copenhagen), Rasmus Ørsøe (TUM), Troels Petersen (Niels Bohr Institute)
    02/06/2025, 15:00
  7. 7. Lecture 3: Networks with Learned Uncertainties
    Tilman Plehn (Heidelberg University)
    03/06/2025, 09:00

    All my lectures will be on the blackboard, based on the published Heidelberg lecture notes. Tutorials maintained by the Heidelberg group are linked in the lecture notes.

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  8. 8. Lecture 4: Generative Networks and Classifier Tests
    Tilman Plehn (Heidelberg University)
    03/06/2025, 10:45
  9. 9. Discussion of Lectures and intro to exercises
    03/06/2025, 13:00
  10. 10. Work on exercises
    03/06/2025, 13:30
  11. 11. Work on exercises
    03/06/2025, 15:00
  12. 12. Lecture 5: Modern Generative Networks
    Tilman Plehn (Heidelberg University)
    04/06/2025, 09:00
  13. 13. Lecture 6: Probabilistic regression with generative models
    Malte Algren
    04/06/2025, 10:45
  14. 14. Discussion of Lectures and intro to exercises
    04/06/2025, 13:00
  15. 15. Work on exercises
    04/06/2025, 13:30
  16. 16. Train ride to Helsingør, visit to Kronborg Castle, drinks on the ramparts, and dinner at Værftets Madmarket.
    04/06/2025, 15:30
  17. 17. Lecture 7: Anomaly Detection
    Thea Aarrestad (ETH Zurich)
    05/06/2025, 09:00
  18. 18. Lecture 8: Network optimisation and fast inference
    Thea Aarrestad (ETH Zurich)
    05/06/2025, 10:45
  19. 20. Work on exercises and own projects
    05/06/2025, 13:00
  20. 21. Work on exercises and own projects
    05/06/2025, 15:00
  21. 22. Lecture 9: Transformers and Foundation Models
    Malte Algren
    06/06/2025, 09:00
  22. 23. Lecture 10: Domain shifts and Past experiences
    Troels Petersen (Niels Bohr Institute)
    06/06/2025, 10:45
  23. 24. Discussion of Lectures
    06/06/2025, 13:00
  24. 27. Exchange of experiences, resources, and "tricks"
    06/06/2025, 13:30
  25. 25. Presentation of projects over drinks and snacks
    06/06/2025, 14:30
  26. 19. Lunch Break
  27. 26. Poster session with snacks and drinks