Theo Heimel

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

Maximilian Dax, Theo Heimel, Gilles Louppe

Simulation-based inference (SBI) with machine learning is an increasingly important tool for solving inverse problems in science and engineering, including parameter inference and the inversion of detector effects. We provide an overview of the Bayesian and frequentist statistica…Read more