Machine Learning for High Energy Physics - a mini course

from Monday, February 4, 2019 (9:00 AM) to Tuesday, February 5, 2019 (5:45 PM)
University of Zurich, Campus Irchel (Y15-G-60)

        : Sessions
    /     : Talks
        : Breaks
Feb 4, 2019
Feb 5, 2019
AM
9:00 AM Registration   (Y15-G-60)
9:30 AM Welcome - Ben Kilminster (Universitaet Zuerich (CH))   (Y15-G-60)
9:35 AM Introduction - Thea Aarrestad (Universitaet Zuerich (CH))   (Y15-G-60)
9:45 AM Basics of neural networks and training - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
10:45 AM --- Coffee break ---
11:00 AM Convolutional networks - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
9:30 AM Systematic Uncertainties and Learning from Data - Gregor Kasieczka (Hamburg University (DE))   (Y16-G-15)
10:45 AM --- Coffee break ---
11:00 AM Generative Networks and Understanding network decisions - Gregor Kasieczka (Hamburg University (DE))   (Y16-G-15)
PM
12:15 PM --- Lunch break ---
2:00 PM Recurrent architectures - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
3:00 PM --- Break ---
3:15 PM Combining Physics and Deep Learning - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
4:30 PM --- Coffee break ---
5:00 PM Invited evening talk: Machine Learning for HL-LHC - Jennifer Ngadiuba (CERN)   (15-G-60)
12:00 PM --- Lunch break ---
2:00 PM Hands-on - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
3:15 PM Hands-on - Gregor Kasieczka (Hamburg University (DE))   (Y15-G-60)
4:30 PM --- Coffee break ---
5:00 PM Scaling up TensorFlow on Accelerators - Marvin Ritter (Google AI)   (Y15-G-60)