2nd Terascale School of Machine Learning

Contribution List

17. Welcome

Isabell-A. Melzer-Pellmann (DESY)

01/03/2021, 09:00

1. Introduction

Peter Steinbach (HZDR)

01/03/2021, 09:05

18. Lesson 1

Peter Steinbach (HZDR)

01/03/2021, 09:45

2. Lesson 2

Peter Steinbach (HZDR)

01/03/2021, 11:15

19. Feedback to lesson 1 and 2

01/03/2021, 12:15

3. Lesson 3

Peter Steinbach (HZDR)

02/03/2021, 09:00

20. Lesson 4

Peter Steinbach (HZDR)

02/03/2021, 10:00

4. Lesson 5

Peter Steinbach (HZDR)

02/03/2021, 11:00

21. Feedback to lesson 3-5

Peter Steinbach (HZDR)

02/03/2021, 12:15

5. Lesson 6

Peter Steinbach (HZDR)

03/03/2021, 09:00

6. Lesson 7

Peter Steinbach (HZDR)

03/03/2021, 10:00

22. Lesson 8

Peter Steinbach (HZDR)

03/03/2021, 11:00

23. Feedback to lesson 6-8

Peter Steinbach (HZDR)

03/03/2021, 12:15

7. Network architectures (with focus on convolutional and graph NNs)

Dr Jean-Roch Vlimant

04/03/2021, 09:00

8. Network architectures (with focus on convolutional and graph NNs)

Dr Jean-Roch Vlimant

04/03/2021, 11:00

9. Generative networks (GANs and VAEs)

Jonas Glombitza (RWTH Aachen)

05/03/2021, 09:00

10. Generative networks (GANs and VAEs)

Jonas Glombitza (RWTH Aachen)

05/03/2021, 11:00

11. Normalizing Flows

Ullrich Köthe

08/03/2021, 09:00

12. Normalizing Flows

Gregor Kasieczka (Institut fuer Experimentalphysik / UHH), Manuel Roland Sommerhalder (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Sascha Daniel Diefenbacher (Universität Hamburg), Tobias Lösche (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

08/03/2021, 11:00

13. Weak classification and anomaly detection

David Shih (Rutgers University)

09/03/2021, 14:00

14. Weak classification and anomaly detection

David Shih (Rutgers University)

09/03/2021, 16:00

15. Machine learning on FPGAs

Jennifer Ngadiuba, Sioni Summers (CERN)

10/03/2021, 14:00

16. Machine learning on FPGAs

Jennifer Ngadiuba, Sioni Summers (CERN)

10/03/2021, 16:00