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ODSL GenAI Days Workshop

23–25 Sept 2024
Europe/Berlin timezone

Contribution List

18 out of 18 displayed
  1. 7. Welcome / Intro to GenAI
    Nicole Hartman (TUM)
    23/09/2024, 14:00
  2. 8. Lecture: Discrete Normalizing Flows
    Annalena Kofler
    23/09/2024, 14:15
  3. 11. Hands On
    Annalena Kofler
    23/09/2024, 15:30
  4. 25. Integration of Augmented Reality and LLMs to Teach ALICE Detector
    Atakan Coban (Ludwig Maximilian University - Physics Education Chair)
    24/09/2024, 10:00

    Teaching complex physics topics such as the quark-gluon plasma investigated by CERN's ALICE detector is extremely important in nurturing future scientists. In this project, we aim to enhance learning by integrating the ChatGPT language model into an Augmented Reality (AR) environment that comprehensively addresses the ALICE detector.

    Within this scope, an AR application suitable for use...

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  5. 26. Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
    Annalena Kofler
    24/09/2024, 10:20

    High-energy physics requires the generation of large numbers of simulated data
    samples from complex but analytically tractable distributions called matrix elements. Surrogate models, such as normalizing flows, are gaining popularity for this task due to their computational efficiency. We adopt an approach based on Flow Annealed importance sampling Bootstrap (FAB) that evaluates the...

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  6. 27. Maria simulator for CMB experiments (12'+3')
    Tony Mroczkowski (ESO)
    24/09/2024, 10:40
  7. 17. Lecture: Continuous Normalizing Flows + Flow Matching
    24/09/2024, 11:15
  8. 15. Hands On
    Nicole Hartman (TUM)
    24/09/2024, 14:00
  9. 18. Diffusion Models: Lecture
    Eva Sextl (USM @ LMU), Eva Sextl (USM @ LMU)
    25/09/2024, 10:00
  10. 29. Closeout
    Nicole Hartman (TUM)
    25/09/2024, 10:55

    How to stay connected

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  11. 19. Diffusion Models: Tutorial
    25/09/2024, 11:10
  12. 28. Closeout
    Nicole Hartman (TUM)
    25/09/2024, 12:25
  13. 16. Applications

    Based on abstract submissions

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  14. 24. Controlling dynamics of stochastic systems with deep reinforcement learning (12'+3')
    Ruslan Mukhamadiarov (LMU)

    A properly designed controller helps to stabilize the system against environmental perturbations and improve the quality of experiment measurements. The task of tuning a controller to optimize its performance is the subject of optimal control theory and with development of deep reinforcement learning — a powerful new learning approach that employs artificial neural networks — the interest to...

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  15. 22. Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
    Annalena Kofler

    High-energy physics requires the generation of large numbers of simulated data
    samples from complex but analytically tractable distributions called matrix elements. Surrogate models, such as normalizing flows, are gaining popularity for this task due to their computational efficiency. We adopt an approach based on Flow Annealed importance sampling Bootstrap (FAB) that evaluates the...

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  16. 20. Informal discussions
    Q&A

    Open space (optional) to talk about new or ongoing ORIGINS problems you'd like to apply GenAI to

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  17. 23. Integration of Augmented Reality and LLMs to Teach ALICE Detector
    Atakan Coban (Ludwig Maximilian University - Physics Education Chair)

    Teaching complex physics topics such as the quark-gluon plasma investigated by CERN's ALICE detector is extremely important in nurturing future scientists. In this project, we aim to enhance learning by integrating the ChatGPT language model into an Augmented Reality (AR) environment that comprehensively addresses the ALICE detector.

    Within this scope, an AR application suitable for use...

    Go to contribution page
  18. 14. Lecture