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EIC Software: AI WG Meeting


This meeting is topic-oriented and focused on uncertainty quantification. 

We will use Zoom for the remote meeting:  https://jlab-org.zoomgov.com/j/1614875218?pwd=RFRPcGlNM3BaS0pQaDhxS3JURkdJZz09  

Meeting ID: 1614875218 Password: 925723

We will use live notes where everyone can edit comments/questions: https://docs.google.com/document/d/1iPNVJUuTjydop450nsHK78VuziISzwB177KaXTNPips/edit



    • 09:00 09:05
      Introduction 5m
      Speakers: Cristiano Fanelli (MIT) , Tanja Horn (Cath)
    • 09:05 09:30
      Uncertainty aware ML-based models for accelerator studies (Anomaly detection and surrogate model for RL) 25m
      Speaker: Kishan Rajput (Jefferson Lab)
    • 09:30 09:40
      Q/A 10m
    • 09:40 10:05
      Uncertainty Quantification for Machine Learning Applied to Data Analysis 25m
      Speaker: Benjamin Nachman (Lawrence Berkeley National Laboratory)
    • 10:05 10:15
      Q/A 10m
    • 10:15 10:40
      Inverse problems in nuclear tomography 25m
      Speaker: Nobuo Sato (Jefferson Lab)
    • 10:40 10:50
      Q/A 10m
    • 10:50 11:00
      Final Discussion 10m