<div>Neural network model files and Madgraph event generator outputs used as inputs to the results presented in the paper "Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences" arXiv:2108.11481</div><div>Code and model files can be found at:</div><div>https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models<br></div><div><br></div><br>
Funding
Towards machine learning-enabled scientific discovery, Turing Project Award, Alan Turing Institute