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Machine Learning for High Energy Physics - a mini course

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Y15-G-60 (University of Zurich, Campus Irchel)

Y15-G-60

University of Zurich, Campus Irchel

Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
Gregor Kasieczka (Hamburg University (DE)), Thea Aarrestad (Universitaet Zuerich (CH))
Description

Registration is now closed!

This is a two day beginner course on machine learning for high energy physics given by Jun.-Prof. Dr.Gregor Kasieczka (Universität Hamburg), and will cover topics like

  • Basics of neural networks and training
  • Convolutional Networks
  • Recurrent architectures
  • Combining Physics and Deep Learning
  • Systematic Uncertainties
  • Learning from Data
  • Generative Networks
  • Understanding network decisions
  • Hands-on exercises

The course is free of charge and consists of three lecture blocks open for a larger audience, as well as a hands-on session. 

You will learn how to use tools like Keras and TensorFlow, and the hands-on session includes designing your own deep neural network (both simple as well as more complex architectures) and training it on a cloud GPU.

This course is targeted for PhD students and Postdocs, but others will be allowed to participate if there are available places. Privilege is given to physics students from UZH and ETH.

The lectures and hands-on session will take place at the UZH Irchel Campus.

On both evenings we will have invited talks given by experts in the field:

Deep learning and future challenges at HL-LHC
Jennifer Ngadiuba (CERN)

Scaling up TensorFlow on Accelerators
Marvin Ritter (Google AI)

Local organizers:

  • Thea Aarrestad (UZH)
  • Ben Kilminster (UZH)
  • Florencia Canelli (UZH)

 

Thea Årrestad
Registration
Registration form for ML for HEP
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Participants
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  • Monday 4 February
    • 09:00 → 09:30
      Registration 30m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 09:30 → 09:35
      Welcome 5m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Ben Kilminster (Universitaet Zuerich (CH))
    • 09:35 → 09:45
      Introduction 10m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Thea Aarrestad (Universitaet Zuerich (CH))
      ML4HEP.pdf
    • 09:45 → 10:45
      Basics of neural networks and training 1h Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
      DeepLearning_Zurich_ML4HEP.pdf
    • 10:45 → 11:00
      Coffee break 15m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 11:00 → 12:15
      Convolutional networks 1h 15m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
    • 12:15 → 14:00
      Lunch break 1h 45m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 14:00 → 15:00
      Recurrent architectures 1h Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
    • 15:00 → 15:15
      Break 15m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 15:15 → 16:30
      Combining Physics and Deep Learning 1h 15m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
    • 16:30 → 17:00
      Coffee break 30m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 17:00 → 17:40
      Invited evening talk: Machine Learning for HL-LHC 40m 15-G-60 (Campus Irchel)

      15-G-60

      Campus Irchel
      Speaker: Jennifer Ngadiuba (CERN)
      Ngadiuba_ZurichMLWorkshop2019.pdf
  • Tuesday 5 February
    • 09:30 → 10:45
      Systematic Uncertainties and Learning from Data 1h 15m Y16-G-15 (Campus Irchel)

      Y16-G-15

      Campus Irchel
      Speaker: Gregor Kasieczka (Hamburg University (DE))
      Slides
    • 10:45 → 11:00
      Coffee break 15m
    • 11:00 → 12:00
      Generative Networks and Understanding network decisions 1h Y16-G-15 (Campus Irchel)

      Y16-G-15

      Campus Irchel
      Speaker: Gregor Kasieczka (Hamburg University (DE))
    • 12:00 → 14:00
      Lunch break 2h
    • 14:00 → 15:00
      Hands-on 1h Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
      DeepLearning_ML4HEP_Exercise.pdf
      Leaderboard
      Upload Target
    • 15:15 → 16:30
      Hands-on 1h 15m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Gregor Kasieczka (Hamburg University (DE))
    • 16:30 → 17:00
      Coffee break 30m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
    • 17:00 → 17:40
      Scaling up TensorFlow on Accelerators 40m Y15-G-60

      Y15-G-60

      University of Zurich, Campus Irchel

      Physik Institut, UZH Building 16/36 (entrance for both is building 36) Winterthurerstrasse 190 8057 Zurich
      Speaker: Marvin Ritter (Google AI)
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