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Joint GlueX-EIC-PANDA Machine Learning Workshop

→ Europe/Berlin
KBW Auditorium (GSI)

KBW Auditorium

GSI

GSI Helmholtzzentrum für Schwerionenforschung GmbH Planckstraße 1 64291 Darmstadt
Description

Workshop postponed! New date will be communicated once it is possible  to meet at GSI again.

This is an internal workshop of the GlueX, EIC and PANDA collaboration. The aim of the workshop is to improve the know-how of machine learning techniques usable for the two experiments and to improve the collaboration between them. The workshop aims at beginners and more experienced users/developers. It is organized in a way that there are lectures and tutorials connected to the lectures in the morning and working groups in the afternoon.

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Participants
43 View full list
  • Mon, May 25
    • 1
      Welcome
    • 2
      ML for Beginners I
      Speaker: Thomas Stibor (GSI, Darmstadt)
    • 3:00 PM
      Break
    • 3
      ML for Beginners I Tutorial
      Speaker: Thomas Stibor (GSI, Darmstadt)
    • 4:00 PM
      Coffee Break
    • 4
      ML for Beginners II
      Speaker: Thomas Stibor (GSI, Darmstadt)
    • 5:15 PM
      Break
    • 5
      ML for Beginners II Tutorial
      Speaker: Thomas Stibor (GSI, Darmstadt)
  • Tue, May 26
    • 6
      Particle Identification and Performance Evaluation
      Speaker: Dr Daniel Lersch (Florida State University)
    • 8:45 AM
      Break
    • 7
      Particle Identification and Performance Evaluation
      Speaker: Dr Daniel Lersch (Florida State University)
    • 9:45 AM
      Coffee Break - Poster Session
    • 8
      Particle Tracking
      Speaker: Marcel Kunze (Universität Heidelberg(U_HD_PHYS))
    • 11:00 AM
      Break
    • 9
      Particle Tracking
      Speaker: Marcel Kunze (Universität Heidelberg(U_HD_PHYS))
  • Wed, May 27
    • 10
      Image Cassification and Data Quality Monitoring
      Speaker: Dr Thomas Britton (JLab)
    • 9:45 AM
      Break
    • 11
      Image Cassification and Data Quality Monitoring
    • 10:45 AM
      Coffee Break
    • 12
      The Geneva library: Using massively parallel processing to solve complex optimization problems
      Speakers: Kilian Schwarz (GSI, Darmstadt), Rüdiger Berlich
    • 12:00 PM
      Break
    • 13
      Using FPGAs for ML
      Speaker: Dr Sergey Furletov (JLab)
    • 1:00 PM
      Lunch Break
    • 14
      Sub-Detector Parameter Optimization
      Speaker: Dr Cristiano Fanelli (MIT)
    • 2:45 PM
      Break
    • 15
      Working Groups
    • 4:00 PM
      Coffee Break
    • 16
      Working Groups
    • Workshop dinner
  • Thu, May 28
    • 17
      Generative Adversarial Networks
      Speaker: Peiyong Jiang (GSI, Darmstadt)
    • 9:45 AM
      Break
    • 18
      Generative Adversarial Networks
      Speaker: Peiyong Jiang (GSI, Darmstadt)
    • 10:45 AM
      Coffee Break
    • 19
      Image Pre-processing for Event Classification
      Speaker: Cristian Marocico (University of Groningen)
    • 12:00 PM
      Break
    • 20
      Deep Learning Event Classification
      Speaker: Cristian Marocico (University of Groningen)
    • 1:00 PM
      Lunch Break
    • 21
      ML for Analysis
      Speaker: Dr Klaus Götzen (GSI, Darmstadt)
    • 2:45 PM
      Break
    • 22
      Working Groups
    • 4:00 PM
      Coffee Break
    • 23
      Working Groups
  • Fri, May 29
    • 24
      Custom Layers and Loss Functions
      Speaker: Dr David Lawrence (JLab)
    • 25
      Custom Layers and Loss Functions
    • 10:30 AM
      Coffee Break
    • 26
      Hardware aspects for ML
      Speaker: Anastasios Belias (GSI, Darmstadt)
    • 27
      Presentation WG I
    • 28
      Presentation WG II
    • 29
      Closing Remarks