Lukas Heinrich

New methods enhance gradient estimation in particle physics programs with randomness.

How Bayesian statistics aids in analyzing experimental data in physics.

A new method enhances data analysis in high energy physics using self-supervised learning.

A fresh approach enhances our knowledge of neutron star properties and equations of state.

Exploring the use of profile likelihoods in analyzing cosmological parameters.

Researchers enhance particle modeling techniques using machine learning methods.