Speaker
Sven Krippendorf
Description
In this talk I discuss how machine learning can be used for identifying underlying mathematical structures in physical systems. Geared towards relevant structures in Beyond the Standard Model Physics I will focus on how we can use ML to discover symmetries. I discuss how standard ML pipelines have to be adopted to enable such discoveries and comment on further applications of these methods in physics beyond symmetries.
