2026-04-17 11:00 | 2026-04-17 12:00
Friday 17 April, 11.00h, at the Colloquium room at Nikhef
Speaker: Tilman Plehn
Title: “Modern Machine Learning for LHC Theory”
Abstract:
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.
This colloquium will be hybrid:
