3rd Workshop on Graph Neural Networks for Neutrino Telescope Event Reconstruction (GraphNeT III)

Session

Presentations

2 May 2023, 09:00

Strandhotellet, Sandvig

18. Welcome

Andreas Søgaard

02/05/2023, 09:00

4. GraphNeT overview

Andreas Søgaard

02/05/2023, 09:15

Introduction to the GraphNet package: Vision, status, achievements, plans, roadmap

5. Representation learning using Graph Neural Networks

Raghavendra Selvan (DIKU)

02/05/2023, 09:45

Learning compact and continuous representation spaces for discrete and non-Euclidean objects such as graphs can be useful to study their properties and perform meaningful vector manipulations that can translate back into the data space. In this session, we will look into graph neural network based regularised auto-encoders that can learn embedding spaces, that can also be conditioned on...

6. IceCube Kaggle Challenge

Philipp Eller (TUM)

02/05/2023, 11:00

https://www.kaggle.com/competitions/icecube-neutrinos-in-deep-ice/overview

7. Galactic plane search with DL in IceCube

Mirco Hünnefeld

02/05/2023, 11:30

22. Event Classification for the ESSnuSB using GNNs

Kaare Endrup Iversen (Lund University)

02/05/2023, 12:00

23. Poster - Improving the direction and energy estimation of low-energy events in ANTARES with machine learning

Juan García Méndez (Universitat Politècnica de València)

02/05/2023, 17:00

24. Poster - Impact of muon deflections on angular muon reconstructions

Pascal Gutjahr

02/05/2023, 17:05

26. Poster - Detection and reconstruction of GeV neutrinos with IceCube

Karlijn Kruiswijk

02/05/2023, 17:10

27. Poster - Improving the sensitivity of KM3NeT in the MeV-GeV range using a GCN

Jonathan Mauro

02/05/2023, 17:15

29. Poster - Ideas to measure the prompt component of the atmospheric muon flux

Ludwig Neste (TU Dortmund University)

02/05/2023, 17:20

8. GraphNeT results

Rasmus Ørsøe

03/05/2023, 09:00

Overview of physics analyses and studies that have been carried out in the context of GraphNeT, their impact on physics, and possible future directions.

9. PyG 2.0

Matthias Fey (PyG and kumo.ai)

03/05/2023, 09:45

10. Automatic hyperparameter optimization for Graph Neural Networks

Lukas Hennig

03/05/2023, 11:00

11. Point-source search in IceCube, integration with GraphNeT

Tomas Kontrimas

03/05/2023, 11:35

19. Ideas for IceCube

Troels Petersen

03/05/2023, 12:10

32. Roadmap towards v2.0 – mini-workshop introduction

Andreas Søgaard

04/05/2023, 10:00

20. Roadmap towards v2.0 – mini-workshop

Andreas Søgaard

04/05/2023, 11:00

21. Summary, next workshop, and goodbye

Andreas Søgaard

04/05/2023, 12:10

30. Industry presentation - TBD