Andreas Søgaard
02/05/2023, 09:15
Introduction to the GraphNet package: Vision, status, achievements, plans, roadmap
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...
Philipp Eller
(TUM)
02/05/2023, 11:00
https://www.kaggle.com/competitions/icecube-neutrinos-in-deep-ice/overview
Kaare Endrup Iversen
(Lund University)
02/05/2023, 12:00
Juan García Méndez
(Universitat Politècnica de València)
02/05/2023, 17:00
Pascal Gutjahr
02/05/2023, 17:05
Karlijn Kruiswijk
02/05/2023, 17:10
Jonathan Mauro
02/05/2023, 17:15
Ludwig Neste
(TU Dortmund University)
02/05/2023, 17:20
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.
Lukas Hennig
03/05/2023, 11:00
Tomas Kontrimas
03/05/2023, 11:35
Andreas Søgaard
04/05/2023, 10:00
