The frontier of simulation-based inference

Mining gold from implicit models to improve likelihood-free inference

(2020) Johann Brehmer et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

QCD-aware recursive neural networks for jet physics

(2019) Gilles Louppe et al.   JOURNAL OF HIGH ENERGY PHYSICS

JUNIPR: a framework for unsupervised machine learning in particle physics

(2019) Anders Andreassen et al.   EUROPEAN PHYSICAL JOURNAL C

INFERNO: Inference-Aware Neural Optimisation

(2019) Pablo de Castro et al.   COMPUTER PHYSICS COMMUNICATIONS

Nuisance hardened data compression for fast likelihood-free inference

(2019) Justin Alsing et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology

(2018) Justin Alsing et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Constraining Effective Field Theories with Machine Learning

(2018) Johann Brehmer et al.   PHYSICAL REVIEW LETTERS

ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations

(2018) Rafael Izbicki et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Likelihood-free inference via classification

(2017) Michael U. Gutmann et al.   STATISTICS AND COMPUTING

Asymptotically exact inference in differentiable generative models

(2017) Matthew M. Graham et al.   Electronic Journal of Statistics

Deep learning

(2015) Yann LeCun et al.   NATURE

On sequential Monte Carlo, partial rejection control and approximate Bayesian computation

(2012) G. W. Peters et al.   STATISTICS AND COMPUTING

Asymptotic formulae for likelihood-based tests of new physics

(2011) Glen Cowan et al.   EUROPEAN PHYSICAL JOURNAL C

Sequential design of computer experiments for the estimation of a probability of failure

(2011) Julien Bect et al.   STATISTICS AND COMPUTING

Sequential Experiment Design for Contour Estimation From Complex Computer Codes

(2009) Pritam Ranjan et al.   TECHNOMETRICS