arXiv stat.ML
· Papers
An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning
arXiv:2607.21702v1 Announce Type: cross Abstract: 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