COLLOQUIUM - "Modern Machine Learning for LHC Theory" by Tilman Plehn (Heidelberg University)
→
Europe/Amsterdam
Colloquium (Nikhef)
Colloquium
Nikhef
Description
Machine learning is not only transforming our lives, but also transforming the way we do particle theory. I will describe a few ML-applications in particle theory, leading to symmetries, uncertainties, and eventually physics-specific representation learning. I will then give examples how we can use learned representations to improve network performance and to understand what our networks do. Finally, I will briefly show how LLM agents change the way we run simulation tools for the LHC.
