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US ATLAS Machine Learning Training 2023

Jul 25 – 28, 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))
    7/25/23, 8:30 AM
  2. 2. Introduction to Machine Learning: Part I
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    7/25/23, 9:00 AM
  3. 3. Tutorial: ML Tools and Techniques
    Jay Chan (University of Wisconsin Madison (US)), Kehang Bai (University of Oregon (US))
    7/25/23, 11:00 AM
  4. 4. Introduction to Machine Learning: Part II
    Elham E Khoda (University of Washington (US))
    7/25/23, 2:00 PM
  5. 5. Tutorial: Neural Networks
    Jay Chan (University of Wisconsin Madison (US)), Kehang Bai (University of Oregon (US))
    7/25/23, 3:45 PM
  6. 6. Overview of ML in particle physics
    Ben Nachman (Lawrence Berkeley National Lab. (US))
    7/26/23, 9:00 AM
  7. 7. Graph NN: part I
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    7/26/23, 11:00 AM
  8. 8. Graph NN: Part II
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    7/26/23, 2:00 PM
  9. 9. Generative Models: Part I
    Sascha Diefenbacher (Lawrence Berkeley National Lab. (US)), Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    7/26/23, 3:00 PM
  10. 10. Generative Models: Part II
    Sascha Diefenbacher (Lawrence Berkeley National Lab. (US)), Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    7/26/23, 4:15 PM
  11. 12. Uncertainties
    Aishik Ghosh (University of California Irvine (US))
    7/27/23, 9:00 AM
  12. 11. Unfolding
    Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))
    7/27/23, 10:30 AM
  13. 13. Differentiable Programming with JAX
    Arnur Nigmetov (LBNL), Nithin Chalapathi (University of California, Berkeley)
    7/27/23, 1:30 PM
  14. 14. Industry Talk
    Dr Chen Luo (Amazon.com)
    7/27/23, 4:00 PM
  15. 15. Networking
    7/27/23, 5:00 PM
  16. 18. Transformers
    Alexander Shamakov (UC Irvine)
    7/28/23, 9:00 AM
  17. 16. Software deployment with ONNXRuntime
    Dhanush Anil Hangal (Lawrence Livermore Nat. Laboratory (US))
    7/28/23, 10:30 AM
  18. 17. Hardware deployment with hls4ml
    Elham E Khoda (University of Washington (US))
    7/28/23, 1:30 PM

    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))
    7/28/23, 3:30 PM
  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))
    7/28/23, 4:30 PM
  21. 21. Dinner