ML4FP 2024 ATLAS Parallel Session

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

66 Auditorium (LBNL)

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

 

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

09:00 → 10:00 Overview of ML in ATLAS

Speaker: Daniel Thomas Murnane (Niels Bohr Institute, University of Copenhagen)

ATLAS ML Tasting Board.pdf

Recording

10:00 → 10:30 Coffee Break

10:30 → 12:00 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 → 13:30 Lunch

13:30 → 14:15 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 → 14:30 Break

14:30 → 16:00 ATLAS b-tagging Framework: SALT

Speaker: Johannes Michael Wagner (University of California Berkeley (US))

Recording

salt_tutorial_ml4fp24.pdf

tutorial

tutorial instructions

16:00 → 16:15 Break

16:15 → 17:00 Athena deployment with ONNXRuntime

Speaker: Sascha Diefenbacher (Lawrence Berkeley National Lab. (US))

LBL_ML4FP_ATLAS_ONNX.pdf

Recording

Tutorial Notebook