ML4Jets2024

Details for Theo Heimel

Affiliation: Heidelberg University

Author in the following contributions

• Differentiable MadNIS-Lite
• Efficient SMEFT fits with neural importance sampling
• Calibrating ATLAS calorimeter signals using an uncertainty-aware precision network
• The Landscape of Unfolding with Machine Learning