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Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files

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posted on 2021-12-10, 11:10 authored by Darren PriceDarren Price, Stephen Menary
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
Code and model files can be found at:
https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models


Funding

Towards machine learning-enabled scientific discovery, Turing Project Award, Alan Turing Institute

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