MomentNetworks

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

ArXiv paper (Accepted in the Third Workshop on Machine Learning and the Physical Sciences, NeurIPS 2020)

100-dimensional model

From a 100-dimensional parameter space, directly estimate the mean and covariance for pairs of parameters with Moment Networks:

MomentNetwork_demo/moment_network_100D.ipynb

Google Colab notebook can be run in browser with GPU acceleration

(modules loaded with !pip install 'git+https://github.com/NiallJeffrey/MomentNetworks.git')

Gravitational wave data example

Demonstrate marginal posterior moment estimation using high-dimensional LIGO-like gravitational wave time series

MomentNetwork_demo/MomentNetwork_grav_wave_demo.ipynb