HighRR Lecture Week 11.09.-15.09.2023 at Heidelberg University

Contribution List

17. Deep learning overview

Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))

11/09/2023, 09:15

Lecture 1 - Roger Wolf, KIT

19. Normalizing flows

Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))

11/09/2023, 11:15

Lecture 1 - Roger Wolf, KIT

20. Discussion

Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))

11/09/2023, 14:00

Lecture 1 - Roger Wolf, KIT

6. Machine learning in Ice Cube

Tim Ruhe

12/09/2023, 09:15

Lecture 2 - Tim Ruhe, TU Dortmund

27. Machine learning in Ice Cube

Tim Ruhe

12/09/2023, 11:15

Lecture 2 - Tim Ruhe, TU Dortmund

28. Discussion

Tim Ruhe

12/09/2023, 14:00

Lecture 2 - Tim Ruhe, TU Dortmund

11. Tracking with graph neural networks

Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))

13/09/2023, 09:15

Lecture 3 - Daniel Murnane, Lawrence Berkeley National Lab. (US)

25. Tracking with graph neural networks

Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))

13/09/2023, 11:15

Lecture 3 - Daniel Murnane, Lawrence Berkeley National Lab. (US)

26. Discussion

Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))

13/09/2023, 14:00

Lecture 3 - Daniel Murnane, Lawrence Berkeley National Lab. (US)

23. Embedded Machine Learning

Holger Fröning

14/09/2023, 09:15

Lecture 4 - Holger Fröning, Heidelberg University

22. Embedded Machine Learning

Holger Fröning

14/09/2023, 11:15

Lecture 4 - Holger Fröning, Heidelberg University

24. Discussion

Holger Fröning

14/09/2023, 14:00

Lecture 4 - Holger Fröning, Heidelberg University

29. Differential programming

Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

15/09/2023, 09:15

Lecture 5 - Lukas Heinrich, TU München

30. Differential programming

Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

15/09/2023, 11:15

Lecture 5 - Lukas Heinrich, TU München

31. Discussion

Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

15/09/2023, 14:00

Lecture 5 - Lukas Heinrich, TU München

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