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Machine Learning for High Energy Physics - a mini course

from Monday, 4 February 2019 (09:00) to Tuesday, 5 February 2019 (17:45)
University of Zurich, Campus Irchel (Y15-G-60)

        : Sessions
    /     : Talks
        : Breaks
4 Feb 2019
5 Feb 2019
AM
09:00 Registration   (Y15-G-60)
09:30 Welcome - Ben Kilminster (Universitaet Zuerich (CH))   (Y15-G-60)
09:35 Introduction - Thea Aarrestad (Universitaet Zuerich (CH))   (Y15-G-60)
09:45 Basics of neural networks and training - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
10:45 --- Coffee break ---
11:00 Convolutional networks - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
09:30 Systematic Uncertainties and Learning from Data - Gregor Kasieczka (Hamburg University (DE))   (Y16-G-15)
10:45 --- Coffee break ---
11:00 Generative Networks and Understanding network decisions - Gregor Kasieczka (Hamburg University (DE))   (Y16-G-15)
PM
12:15 --- Lunch break ---
14:00 Recurrent architectures - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
15:00 --- Break ---
15:15 Combining Physics and Deep Learning - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
16:30 --- Coffee break ---
17:00 Invited evening talk: Machine Learning for HL-LHC - Jennifer Ngadiuba (CERN)   (15-G-60)
12:00 --- Lunch break ---
14:00 Hands-on - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
15:15 Hands-on - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
16:30 --- Coffee break ---
17:00 Scaling up TensorFlow on Accelerators - Marvin Ritter (Google AI)   (Y15-G-60)
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