Speaker
Andreas Ipp
(TU Wien)
Description
I will give an overview of our group’s progress in applying machine learning to lattice QCD, including the design of gauge-equivariant neural network layers that can learn a fixed-point action. I will also share our ongoing work on diffusion models and ideas for collaborative efforts towards large physics models.
I would like to take this chance to promote the European Coalition for AI in Fundamental Physics (EuCAIF) and its role in the upcoming JENA white paper on European Federated Computing.
Author
Andreas Ipp
(TU Wien)
