HighRR Lecture Week 11.09.-15.09.2023 at Heidelberg University

Name: HighRR Lecture Week 11.09.-15.09.2023 at Heidelberg University
Start: 2023-09-11T09:15:00+02:00
End: 2023-09-15T16:35:00+02:00
Location: Heidelberg

11 Sept 2023, 09:15 → 15 Sept 2023, 16:35 Europe/Zurich

Gold Box (Heidelberg)

Gold Box

Heidelberg

Physikalisches Insitut Im Neuenheimer Feld 226 69120

Andre Schoening (Heidelberg University (DE)), Hans-Christian Schultz-Coulon (Heidelberg University (DE))

Petra Pfeifer

petra.pfeifer@kip.uni-heidelberg.de

Registration

Registration Form

Participants

Abhirikshma Nandi
Abhishek Nath
Aleksandra Poreba
Alperen Yuncu
Andres Borquez
Arianna Wintle
Arik Küster
Benjamin Weinläder
Cas van Veen
Daniel Unger
David Schimansky
Jia-Hao Li
Jinjoo Seo
liqing qin
Marin Collonge
Michael Rudolf Ciupek
Mihail Bogdan Blidaru
Nadine Grünwald
Pascal Becht
Peter Glassel
Poppy Hicks
Sachin Gupta
Sonam Sharma
Thomas Junkermann

Monday 11 September
- 09:15 → 14:45
  Lecture 1 - Roger Wolf, KIT
  - 09:15
    
    Deep learning overview 1h 30m
    
    Speaker: Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))
    
    HigRR-Intro.pdf
  - 10:45
    
    Coffee Break 30m
  - 11:15
    
    Normalizing flows 1h 30m
    
    Speaker: Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))
    
    HigRR-NormalizingFlows.pdf
  - 12:45
    
    Lunch Break 1h 15m
  - 14:00
    
    Discussion 45m
    
    Speaker: Roger Wolf (KIT - Karlsruhe Institute of Technology (DE))
Tuesday 12 September
- 09:15 → 14:45
  Lecture 2 - Tim Ruhe, TU Dortmund
  - 09:15
    
    Machine learning in Ice Cube 1h 30m
    
    Speaker: Tim Ruhe
    
    HighRR_Heidelberg_no_ani.pdf
  - 10:45
    
    Coffee Break 30m
  - 11:15
    
    Machine learning in Ice Cube 1h 30m
    
    Speaker: Tim Ruhe
  - 12:45
    
    Lunch Break 1h 15m
  - 14:00
    
    Discussion 45m
    
    Speaker: Tim Ruhe
Wednesday 13 September
- 09:15 → 14:45
  Lecture 3 - Daniel Murnane, Lawrence Berkeley National Lab. (US)
  - 09:15
    
    Tracking with graph neural networks 1h 30m
    
    Speaker: Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))
    
    Part 1 - Fundamentals.pdf
  - 10:45
    
    Coffee Break 30m
  - 11:15
    
    Tracking with graph neural networks 1h 30m
    
    Speaker: Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))
    
    Part 2 - Extensions.pdf
  - 12:45
    
    Lunch Break 1h 15m
  - 14:00
    
    Discussion 45m
    
    Speaker: Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))
- 18:15 → 21:00
  
  Social Event / BBQ 2h 45m
Thursday 14 September
- 09:15 → 14:45
  Lecture 4 - Holger Fröning, Heidelberg University
  - 09:15
    
    Embedded Machine Learning 1h 30m
    
    Speaker: Holger Fröning
    
    lecture.pdf
  - 10:45
    
    Coffee Break 30m
  - 11:15
    
    Embedded Machine Learning 1h 30m
    
    Speaker: Holger Fröning
  - 12:45
    
    Lunch Break 1h 15m
  - 14:00
    
    Discussion 45m
    
    Speaker: Holger Fröning
Friday 15 September
- 09:15 → 14:45
  Lecture 5 - Lukas Heinrich, TU München
  
  Convener: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))
  - 09:15
    
    Differential programming 1h 30m
    
    Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))
    
    HighRR_Lecture1.pdf
  - 10:45
    
    Coffee Break 30m
  - 11:15
    
    Differential programming 1h 30m
    
    Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))
    
    HighRR_Lecture2.pdf
  - 12:45
    
    Lunch Break 1h 15m
  - 14:00
    
    Discussion 45m
    
    Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))