Orateur
Gregor Kasieczka
(Universität Hamburg)
Description
Recent progress in computer science, specifically the development normalising flows and diffusion models, has brought about a breakthrough in the fidelity of generative models in particle physics.
In this talk I will first review some of these new approaches and then discuss potential uses, considering the overall theme of uncertainties. This will allow us to discuss statistical properties, performance metrics, inherent uncertainties, surrogate models and in-situ background estimation.
Auteur principal
Gregor Kasieczka
(Universität Hamburg)
