The frontier of simulation-based inference
K. Cranmer, Johann Brehmer, Gilles Louppe
Abstract
Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science.
Topics & Concepts
FrontierInferenceField (mathematics)Computer scienceFidelityMomentum (technical analysis)Data scienceManagement scienceArtificial intelligencePolitical scienceEngineeringEconomicsMathematicsTelecommunicationsFinanceLawPure mathematicsGaussian Processes and Bayesian InferenceMachine Learning and AlgorithmsModel Reduction and Neural Networks