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Machine Learning for High Energy Physics - a mini course

4–5 Feb 2019
University of Zurich, Campus Irchel
Europe/Zurich timezone

Thea Årrestad

Contribution List

13 out of 13 displayed
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  1. 11. Registration
    04/02/2019, 09:00
  2. 13. Welcome
    Ben Kilminster (Universitaet Zuerich (CH))
    04/02/2019, 09:30
  3. 12. Introduction
    Thea Aarrestad (Universitaet Zuerich (CH))
    04/02/2019, 09:35
  4. 1. Basics of neural networks and training
    Gregor Kasieczka (Hamburg University (DE))
    04/02/2019, 09:45
  5. 2. Convolutional networks
    Gregor Kasieczka (Hamburg University (DE))
    04/02/2019, 11:00
  6. 3. Recurrent architectures
    Gregor Kasieczka (Hamburg University (DE))
    04/02/2019, 14:00
  7. 4. Combining Physics and Deep Learning
    Gregor Kasieczka (Hamburg University (DE))
    04/02/2019, 15:15
  8. 10. Invited evening talk: Machine Learning for HL-LHC
    Jennifer Ngadiuba (CERN)
    04/02/2019, 17:00
  9. 5. Systematic Uncertainties and Learning from Data
    Gregor Kasieczka (Hamburg University (DE))
    05/02/2019, 09:30
  10. 6. Generative Networks and Understanding network decisions
    Gregor Kasieczka (Hamburg University (DE))
    05/02/2019, 11:00
  11. 7. Hands-on
    Gregor Kasieczka (Hamburg University (DE))
    05/02/2019, 14:00
  12. 8. Hands-on
    Gregor Kasieczka (Hamburg University (DE))
    05/02/2019, 15:15
  13. 9. Scaling up TensorFlow on Accelerators
    Marvin Ritter (Google AI)
    05/02/2019, 17:00