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Advanced Artificial Intelligence for Precision High Energy Physics

16–28 Jul 2023
Lake Como School for Advanced Studies
Europe/Rome timezone

Contribution List

30 out of 30 displayed
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  1. 1. Machine learning techniques
    Tilman Plehn (Heidelberg University)
    17/07/2023, 09:00

    https://www.thphys.uni-heidelberg.de/~plehn/pics/modern_ml.pdf

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  2. 2. Quantum Chromodynamics
    Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)
    17/07/2023, 11:30
  3. 3. Click on the materials for a link to a Github repository containing all jupyter notebooks used during the tutorials
    Roy Stegeman
    17/07/2023, 15:00
  4. 4. Machine learning techniques
    Tilman Plehn (Heidelberg University)
    18/07/2023, 09:00
  5. 5. Quantum Chromodynamics
    Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)
    18/07/2023, 11:30
  6. 6. Tutorials: (NLO) theory predictions crash course
    Mr Christopher Schwan (Universität Würzburg)
    18/07/2023, 15:00
  7. 7. Machine learning techniques
    Tilman Plehn (Heidelberg University)
    19/07/2023, 09:00
  8. 8. Quantum Chromodynamics
    Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)
    19/07/2023, 11:30
  9. 9. Tutorials: PDF and couplings evolution
    Giacomo Magni (Nikhef, VU Amsterdam)
    19/07/2023, 15:00
  10. 10. Machine learning techniques
    Tilman Plehn (Heidelberg University)
    20/07/2023, 09:00
  11. 11. Quantum Chromodynamics
    Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)
    20/07/2023, 11:30
  12. 30. Tutorials: Machine Learning 101: using ML concepts and techniques for regression and classification
    Andrea Barontini (Università degli studi di Milano)
    20/07/2023, 15:00
  13. 13. Quantum Chromodynamics
    Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)
    21/07/2023, 09:00
  14. 12. Machine learning techniques
    Tilman Plehn (Heidelberg University)
    21/07/2023, 11:30
  15. 14. Tutorials: Applying Machine Learning techniques to real life HEP problems
    Dr Juan M. Cruz Martinez (CERN)
    21/07/2023, 15:00
  16. 15. Bayesian methods and data analysis
    Maurizio Pierini (CERN)
    24/07/2023, 09:00
  17. 16. Quantum Machine Learning
    Artur Garcia (Barcelona Supercomputing Center)
    24/07/2023, 11:30
  18. 17. Tutorials: Bayesian inference tools
    Tommaso Giani (Nikhef National institute for subatomic physics (NL))
    24/07/2023, 15:00
  19. 18. Bayesian methods and data analysis
    Maurizio Pierini (CERN)
    25/07/2023, 09:00
  20. 19. Quantum Machine Learning
    Artur Garcia (Barcelona Supercomputing Center)
    25/07/2023, 11:30
  21. 20. Tutorials: Quantum computing
    Andrea Pasquale (University of Milan)
    25/07/2023, 15:00
  22. 21. Bayesian methods and data analysis
    Maurizio Pierini (CERN)
    26/07/2023, 09:00
  23. 22. Quantum Machine Learning
    Artur Garcia (Barcelona Supercomputing Center)
    26/07/2023, 11:30
  24. 23. Tutorials: Quantum Machine Learning
    Matteo Robbiati (Università degli Studi e INFN Milano (IT))
    26/07/2023, 15:00
  25. 24. Bayesian methods and data analysis
    Maurizio Pierini (CERN)
    27/07/2023, 09:00
  26. 25. Quantum Machine Learning
    Artur Garcia (Barcelona Supercomputing Center)
    27/07/2023, 11:30
  27. 26. Tutorials: Exercise - SM Bayesian fit
    Alessandro Candido
    27/07/2023, 15:00
  28. 27. Bayesian methods and data analysis
    Maurizio Pierini (CERN)
    28/07/2023, 09:00
  29. 28. Quantum Machine Learning
    Artur Garcia (Barcelona Supercomputing Center)
    28/07/2023, 11:30
  30. 29. Tutorials