Search Results for author:
Found 2 papers, 1 papers with code
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
A common setting for scientific inference is the ability to sample from a high-fidelity forward model (simulation) without having an explicit probability density of the data.
Parameter Estimation using Neural Networks in the Presence of Detector Effects
Histogram-based template fits are the main technique used for estimating parameters of high energy physics Monte Carlo generators.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
