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Machine Learning for Fundamental Physics School 2024

12–16 Aug 2024
US/Pacific timezone

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Contribution List

30 / 30
1. Welcome Presentation
Aishik Ghosh (UCI), Elham E Khoda (University of California, San Diego), Sascha Diefenbacher (LBL), Benjamin Nachman (LBL)
12/08/2024, 08:30
2. Introduction to Machine Learning: Part I
Joshua Bloom (University of California, Berkeley)
12/08/2024, 09:00
3. Tutorial: Intro to Neural Networks I
Jay Chan (LBNL), Johannes Wagner (University of California, Berkeley), Oz Amram (Fermilab)
12/08/2024, 11:00

Tutorial Instruction for environment setup:
https://docs.google.com/presentation/d/1fwWOHHByf_nWvCfTVi1rCbVAmkaOHEN_IUTC1HoVvM0/edit?usp=sharing

Git repo: https://github.com/ml4fp/2024-lbnl/tree/main
4. Tutorial: Intro to Neural Networks II
Jay Chan (University of Wisconsin-Madison), Johannes Wagner (University of California, Berkeley)
12/08/2024, 13:30
5. Introduction to Machine Learning: Part II
Dennis Noll (Lawrence Berkeley National Lab. (US))
12/08/2024, 14:00
6. Tutorial: ML tools for HEP data
Jay Chan (University of Wisconsin-Madison), Johannes Wagner (University of California, Berkeley)
12/08/2024, 16:00
8. Application: Transformers I
Alex Shmakov (UCI)
13/08/2024, 09:00
9. Application: Transformers II
Alex Shmakov (UCI)
13/08/2024, 10:30
7. Overview of ML in particle physics
Benjamin Nachman
13/08/2024, 13:30
10. Applications: Generative Models I
Sascha Diefenbacher (Lawrence Berkeley National Laboratory)
13/08/2024, 14:45
11. Application: Generative Models II
Sascha Diefenbacher (Lawrence Berkeley National Laboratory)
13/08/2024, 16:15
12. Uncertainties
Aishik Ghosh
14/08/2024, 09:00
13. Differentiable Programming
Sean Gasiorowski (SLAC)
14/08/2024, 10:15
14. Unfolding
Vinicius Mikuni
14/08/2024, 14:00
15. Industry Talk
Kanishka Rao (Google)
14/08/2024, 16:00
16. Networking Event
14/08/2024, 17:00
17. Anomaly Detection
Oz Amram (Fermilab)
15/08/2024, 09:00
18. Optimal Transport
Nathan Suri (Yale University)
15/08/2024, 11:00
19. ML at Scale
Steven Farrell (NERSC/LBL)
15/08/2024, 14:00
20. Efficient ML I
Elham E Khoda (University of California, San Diego)
15/08/2024, 15:15
21. Efficient ML II
Elham E Khoda (University of California, San Diego)
15/08/2024, 16:30
22. Closeout: General Session
Aishik Ghosh, Benjamin Nachman, Elham E Khoda (University of California, San Diego), Maris Arthurs (SLAC/Stanford), Oz Amram (Fermilab), Sascha Diefenbacher (Lawrence Berkeley National Laboratory), Steven Farrell
15/08/2024, 17:30
29. CMS Specific Session
16/08/2024, 09:00
30. LZ Specific Session
16/08/2024, 09:00
23. Overview of ML in ATLAS
Daniel Murnane
16/08/2024, 09:00
24. Neural Simulation-based Inference (NSBI) I
Aishik Ghosh, Andrew Skivington (UCI)
16/08/2024, 10:30
25. Neural Simulation-based Inference (NSBI) II
Aishik Ghosh, Andrew Skivington (UCI)
16/08/2024, 13:30
27. ATLAS b-tagging Framework: SALT
Johannes Wagner (University of California, Berkeley)
16/08/2024, 14:30
26. Athena deployment with ONNX
Sascha Diefenbacher (Lawrence Berkeley National Laboratory)
16/08/2024, 16:15
28. Closeout & Final Remarks
Aishik Ghosh, Benjamin Nachman, Maris Arthurs (SLAC/Stanford), Oz Amram (Fermilab), Sascha Diefenbacher (Lawrence Berkeley National Laboratory), Steven Farrell
16/08/2024, 17:00
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