Registration Room: Y15-G-60

Welcome

• Ben Kilminster (Universitaet Zuerich (CH))

Room: Y15-G-60

Introduction

• Thea Aarrestad (Universitaet Zuerich (CH))

Room: Y15-G-60

Basics of neural networks and training

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Convolutional networks

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Recurrent architectures

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Combining Physics and Deep Learning

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Invited evening talk: Machine Learning for HL-LHC

• Jennifer Ngadiuba (CERN)

Room: 15-G-60

Systematic Uncertainties and Learning from Data

• Gregor Kasieczka (Hamburg University (DE))

Room: Y16-G-15

Generative Networks and Understanding network decisions

• Gregor Kasieczka (Hamburg University (DE))

Room: Y16-G-15

Hands-on

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Hands-on

• Gregor Kasieczka (Hamburg University (DE))

Room: Y15-G-60

Scaling up TensorFlow on Accelerators

• Marvin Ritter (Google AI)

Room: Y15-G-60