Advanced Artificial Intelligence for Precision High Energy Physics

Contribution List

1. Machine learning techniques

Tilman Plehn (Heidelberg University)

17/07/2023, 09:00

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

2. Quantum Chromodynamics

Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)

17/07/2023, 11:30

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. Machine learning techniques

Tilman Plehn (Heidelberg University)

18/07/2023, 09:00

5. Quantum Chromodynamics

Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)

18/07/2023, 11:30

6. Tutorials: (NLO) theory predictions crash course

Mr Christopher Schwan (Universität Würzburg)

18/07/2023, 15:00

7. Machine learning techniques

Tilman Plehn (Heidelberg University)

19/07/2023, 09:00

8. Quantum Chromodynamics

Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)

19/07/2023, 11:30

9. Tutorials: PDF and couplings evolution

Giacomo Magni (Nikhef, VU Amsterdam)

19/07/2023, 15:00

10. Machine learning techniques

Tilman Plehn (Heidelberg University)

20/07/2023, 09:00

11. Quantum Chromodynamics

Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)

20/07/2023, 11:30

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. Quantum Chromodynamics

Jennifer Smillie (Higgs Centre for Theoretical Physics, Edin. U.)

21/07/2023, 09:00

12. Machine learning techniques

Tilman Plehn (Heidelberg University)

21/07/2023, 11:30

14. Tutorials: Applying Machine Learning techniques to real life HEP problems

Dr Juan M. Cruz Martinez (CERN)

21/07/2023, 15:00

15. Bayesian methods and data analysis

Maurizio Pierini (CERN)

24/07/2023, 09:00

16. Quantum Machine Learning

Artur Garcia (Barcelona Supercomputing Center)

24/07/2023, 11:30

17. Tutorials: Bayesian inference tools

Tommaso Giani (Nikhef National institute for subatomic physics (NL))

24/07/2023, 15:00

18. Bayesian methods and data analysis

Maurizio Pierini (CERN)

25/07/2023, 09:00

19. Quantum Machine Learning

Artur Garcia (Barcelona Supercomputing Center)

25/07/2023, 11:30

20. Tutorials: Quantum computing

Andrea Pasquale (University of Milan)

25/07/2023, 15:00

21. Bayesian methods and data analysis

Maurizio Pierini (CERN)

26/07/2023, 09:00

22. Quantum Machine Learning

Artur Garcia (Barcelona Supercomputing Center)

26/07/2023, 11:30

23. Tutorials: Quantum Machine Learning

Matteo Robbiati (Università degli Studi e INFN Milano (IT))

26/07/2023, 15:00

24. Bayesian methods and data analysis

Maurizio Pierini (CERN)

27/07/2023, 09:00

25. Quantum Machine Learning

Artur Garcia (Barcelona Supercomputing Center)

27/07/2023, 11:30

26. Tutorials: Exercise - SM Bayesian fit

Alessandro Candido

27/07/2023, 15:00

27. Bayesian methods and data analysis

Maurizio Pierini (CERN)

28/07/2023, 09:00

28. Quantum Machine Learning

Artur Garcia (Barcelona Supercomputing Center)

28/07/2023, 11:30

29. Tutorials