Présidents de session
Generative Models workshop: Monday morning
- Il n'a pas de président de session pour ce bloc
Generative Models workshop: Monday afternoon
- Cécile Germain (LISN, Université Paris-Saclay)
Generative Models workshop: Tuesday morning
- Il n'a pas de président de session pour ce bloc
Generative Models workshop: Tuesday afternoon
- Il n'a pas de président de session pour ce bloc
Detailed simulations of physics processes are a cornerstone of most physics measurements and searches at experiments such as those at the Large Hadron Collider (LHC) as well as in other scientific domains. However, the large volumes of data collected at the LHC precludes a requirement for even more simulated data in order to test various hypotheses to a high precision. As the LHC moves to the...
Event generation and Hadronization make up a significant fraction of our high energy physics simulation chain. Therefore there exists a strong interest in using generative models to supplement these simulation tasks. In both applications the data is commonly expressed as a list of 4-momenta. This presents an additional challenge to any generative model, as 4-momenta have inherent complex...
Graph Neural Networks (GNNs) have proven to be a versatile tool to predict properties of molecules, generative molecules and even predict solutions of a partial differential equation (PDE). Many physical application domains also exhibit symmetries which can be incorporated into the GNNs through equivariant convolutions or data augmentation. In this talk I will explain how this tool can be...
