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ML4FP 2024 ATLAS Parallel Session

Friday 16 Aug 2024, 00:00 → 19:30 US/Pacific

66 Auditorium (LBNL)

66 Auditorium

LBNL

1 Cyclotron Rd, Berkeley, CA 94720

Aishik Ghosh (University of California Irvine (US)), Elham Khoda (University of Washington (US)), Ben Nachman (Lawrence Berkeley National Lab. (US))

Description

ML4FP 2024 main indico:
https://indico.physics.lbl.gov/event/2850/timetable/?view=standard

Tutorial git:

ATLAS Gitlab link: https://gitlab.cern.ch/aighosh/ml4fp_school_2024

Zoom: https://cern.zoom.us/j/66470738944?pwd=F3KKBgHaZDcJAwibWiV5uqTPRhhjKa.1

slack joining link: https://join.slack.com/t/ml4fp/shared_invite/zt-2nhv0qhts-pkH3Qf30YomavTOn3MP_nw

Contact

bpnachman@lbl.gov

elham.e.khoda@cern.ch

aishik.ghosh@cern.ch

SDiefenbacher@lbl.gov

- 1
  
  Overview of ML in ATLAS
  
  Speaker: Daniel Thomas Murnane (Niels Bohr Institute, University of Copenhagen)
  
  ATLAS ML Tasting Board.pdf
  
  Recording
- 10:00
  
  Coffee Break
- 2
  
  Neural Simulation-Based Inference: Part I
  
  Speakers: Aishik Ghosh (University of California Irvine (US)), Andrew Skivington (University of California-San Diego, Duarte Lab)
  
  GitLab
  
  ML4FP_NSBI_16Aug2024.pdf
  
  Recording1
  
  Recording2
  
  tutorial instructions
- 12:00
  
  Lunch
- 3
  
  Neural Simulation-Based Inference: Part II
  
  Speakers: Aishik Ghosh (University of California Irvine (US)), Andrew Skivington (University of California-San Diego, Duarte Lab)
- 14:15
  
  Break
- 4
  
  ATLAS b-tagging Framework: SALT
  
  Speaker: Johannes Michael Wagner (University of California Berkeley (US))
  
  Recording
  
  salt_tutorial_ml4fp24.pdf
  
  tutorial
  
  tutorial instructions
- 16:00
  
  Break
- 5
  
  Athena deployment with ONNXRuntime
  
  Speaker: Sascha Diefenbacher (Lawrence Berkeley National Lab. (US))
  
  LBL_ML4FP_ATLAS_ONNX.pdf
  
  Recording
  
  Tutorial Notebook