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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
Beschreibung

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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Teilnehmer
43 Vollständige Liste anzeigen
  • Mo., 25. Mai
    • 1
      Welcome
    • 2
      ML for Beginners I
      Sprecher: Thomas Stibor (GSI, Darmstadt)
    • 15:00
      Break
    • 3
      ML for Beginners I Tutorial
      Sprecher: Thomas Stibor (GSI, Darmstadt)
    • 16:00
      Coffee Break
    • 4
      ML for Beginners II
      Sprecher: Thomas Stibor (GSI, Darmstadt)
    • 17:15
      Break
    • 5
      ML for Beginners II Tutorial
      Sprecher: Thomas Stibor (GSI, Darmstadt)
  • Di., 26. Mai
    • 6
      Particle Identification and Performance Evaluation
      Sprecher: Dr. Daniel Lersch (Florida State University)
    • 08:45
      Break
    • 7
      Particle Identification and Performance Evaluation
      Sprecher: Dr. Daniel Lersch (Florida State University)
    • 09:45
      Coffee Break - Poster Session
    • 8
      Particle Tracking
      Sprecher: Marcel Kunze (Universität Heidelberg(U_HD_PHYS))
    • 11:00
      Break
    • 9
      Particle Tracking
      Sprecher: Marcel Kunze (Universität Heidelberg(U_HD_PHYS))
  • Mi., 27. Mai
    • 10
      Image Cassification and Data Quality Monitoring
      Sprecher: Dr. Thomas Britton (JLab)
    • 09:45
      Break
    • 11
      Image Cassification and Data Quality Monitoring
    • 10:45
      Coffee Break
    • 12
      The Geneva library: Using massively parallel processing to solve complex optimization problems
      Sprecher: Kilian Schwarz (GSI, Darmstadt), Rüdiger Berlich
    • 12:00
      Break
    • 13
      Using FPGAs for ML
      Sprecher: Dr. Sergey Furletov (JLab)
    • 13:00
      Lunch Break
    • 14
      Sub-Detector Parameter Optimization
      Sprecher: Dr. Cristiano Fanelli (MIT)
    • 14:45
      Break
    • 15
      Working Groups
    • 16:00
      Coffee Break
    • 16
      Working Groups
    • Workshop dinner
  • Do., 28. Mai
    • 17
      Generative Adversarial Networks
      Sprecher: Peiyong Jiang (GSI, Darmstadt)
    • 09:45
      Break
    • 18
      Generative Adversarial Networks
      Sprecher: Peiyong Jiang (GSI, Darmstadt)
    • 10:45
      Coffee Break
    • 19
      Image Pre-processing for Event Classification
      Sprecher: Cristian Marocico (University of Groningen)
    • 12:00
      Break
    • 20
      Deep Learning Event Classification
      Sprecher: Cristian Marocico (University of Groningen)
    • 13:00
      Lunch Break
    • 21
      ML for Analysis
      Sprecher: Dr. Klaus Götzen (GSI, Darmstadt)
    • 14:45
      Break
    • 22
      Working Groups
    • 16:00
      Coffee Break
    • 23
      Working Groups
  • Fr., 29. Mai
    • 24
      Custom Layers and Loss Functions
      Sprecher: Dr. David Lawrence (JLab)
    • 25
      Custom Layers and Loss Functions
    • 10:30
      Coffee Break
    • 26
      Hardware aspects for ML
      Sprecher: Anastasios Belias (GSI, Darmstadt)
    • 27
      Presentation WG I
    • 28
      Presentation WG II
    • 29
      Closing Remarks
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