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US ATLAS Machine Learning Training 2023

25–28 Jul 2023
LBNL
US/Pacific timezone

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Contribution List

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  1. 1. Welcome Presentation
    Aishik Ghosh (University of California Irvine (US)), Ben Nachman (Lawrence Berkeley National Lab. (US)), Elham E Khoda (University of Washington (US))
    25/07/2023, 08:30
  2. 2. Introduction to Machine Learning: Part I
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    25/07/2023, 09:00
  3. 3. Tutorial: ML Tools and Techniques
    Jay Chan (University of Wisconsin Madison (US)), Kehang Bai (University of Oregon (US))
    25/07/2023, 11:00
  4. 4. Introduction to Machine Learning: Part II
    Elham E Khoda (University of Washington (US))
    25/07/2023, 14:00
  5. 5. Tutorial: Neural Networks
    Jay Chan (University of Wisconsin Madison (US)), Kehang Bai (University of Oregon (US))
    25/07/2023, 15:45
  6. 6. Overview of ML in particle physics
    Ben Nachman (Lawrence Berkeley National Lab. (US))
    26/07/2023, 09:00
  7. 7. Graph NN: part I
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    26/07/2023, 11:00
  8. 8. Graph NN: Part II
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    26/07/2023, 14:00
  9. 9. Generative Models: Part I
    Sascha Diefenbacher (Lawrence Berkeley National Lab. (US)), Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    26/07/2023, 15:00
  10. 10. Generative Models: Part II
    Sascha Diefenbacher (Lawrence Berkeley National Lab. (US)), Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    26/07/2023, 16:15
  11. 12. Uncertainties
    Aishik Ghosh (University of California Irvine (US))
    27/07/2023, 09:00
  12. 11. Unfolding
    Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    27/07/2023, 10:30
  13. 13. Differentiable Programming with JAX
    Arnur Nigmetov (LBNL), Nithin Chalapathi (University of California, Berkeley)
    27/07/2023, 13:30
  14. 14. Industry Talk
    Dr Chen Luo (Amazon.com)
    27/07/2023, 16:00
  15. 15. Networking
    27/07/2023, 17:00
  16. 18. Transformers
    Alexander Shamakov (UC Irvine)
    28/07/2023, 09:00
  17. 16. Software deployment with ONNXRuntime
    Dhanush Anil Hangal (Lawrence Livermore Nat. Laboratory (US))
    28/07/2023, 10:30
  18. 17. Hardware deployment with hls4ml
    Elham E Khoda (University of Washington (US))
    28/07/2023, 13:30

    Step 1:
    Accept the github invitation (sent earlier today)

    Step 2:
    Start the jupyterhub: https://jhub.35.192.180.88.nip.io

    Go to contribution page
  19. 20. Large Language Models
    Xiangyang Ju (Lawrence Berkeley National Lab. (US))
    28/07/2023, 15:30
  20. 19. Closing Remarks
    Aishik Ghosh (University of California Irvine (US)), Ben Nachman (Lawrence Berkeley National Lab. (US)), Elham E Khoda (University of Washington (US))
    28/07/2023, 16:30
  21. 21. Dinner