Clélia de Mulatier

Compute entropy and JS-divergence for two binary datafile with up to 128 variables

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Exhaustive search for the best Minimally Complex spin Model: "community detection" in binary data.

Greedy search for the best Minimally Complex spin Model: "community detection" in binary data.

This repository contains the Python part of the course "Programming in Mathematica and Python"

This program searches for the Best Basis representation for a chosen binary dataset

Set of basic programs to generate data and fit data with spin models with high order interactions.

This program searches for the Best Basis representation for a chosen binary dataset

random MCMs

Simulated annealing algorithm for detecting community structure in binary data

Tensorflow implementation of Spike-GAN.

This algorithm performs a greedy search to find the most relevant patterns of binary data. Uncovered patterns can be of any order.

No description provided.

Generate Binary Data with a chosen values of correlation between the variables

This Monte Carlo simulation finds the best sub-complete model with m independent variables in a system of n random variables (with n > m). For this purpose, it travels through the class of equivalence of these models by performing gauge transformations on the dataset and selects the model with the largest maximum log-likelihood.

Emergence of property rights in a multi-agent system