Juan Pavez

Mining gold from implicit models to improve likelihood-free inference

Johann Brehmer, Gilles Louppe, Juan Pavez et al. · Proceedings of the National Academy of Sciences · 2020 · 161 citations · Full text

Constraining Effective Field Theories with Machine Learning

Johann Brehmer, Kyle Cranmer, Gilles Louppe et al. · Physical Review Letters · 2018 · 153 citations · Full text

Artificial Intelligence, Collider Physic, Effective Field Theories +12

A guide to constraining effective field theories with machine learning

Johann Brehmer, K. Cranmer, Gilles Louppe et al. · Physical review. D/Physical review. D. · 2018 · 146 citations · Full text

Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

K. Cranmer, Juan Pavez, Gilles Louppe · arXiv (Cornell University) · 2015 · 131 citations · Full text

Bayesian Statistic, Bayesian Decision Theory, Engineering +21

Likelihood-free inference with an improved cross-entropy estimator

Markus Stoye, Johann Brehmer, Gilles Louppe et al. · arXiv (Cornell University) · 2018 · 21 citations · Full text

Structured Prediction, Data Augmentation, Likelihood-free Inference +14