Small-correlation expansions for the inverse Ising problem, Journal of Physics A: Mathematical and Theoretical, vol.42, issue.5, p.55001, 2009. ,
DOI : 10.1088/1751-8113/42/5/055001
URL : https://hal.archives-ouvertes.fr/hal-00340939
Bethe???Peierls approximation and the inverse Ising problem, Journal of Statistical Mechanics: Theory and Experiment, vol.2012, issue.03, p.3004, 2012. ,
DOI : 10.1088/1742-5468/2012/03/P03004
The Bethe approximation for solving the inverse Ising problem: a comparison with other inference methods, Journal of Statistical Mechanics: Theory and Experiment, vol.2012, issue.08, p.8015, 2012. ,
DOI : 10.1088/1742-5468/2012/08/P08015
Pseudolikelihood Decimation Algorithm Improving the Inference of the Interaction Network in a General Class of Ising Models, Physical Review Letters, vol.112, issue.7, p.70603, 2014. ,
DOI : 10.1103/PhysRevLett.112.070603
Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods, Proceedings of the National Academy of Sciences, vol.106, issue.33, p.14058, 2009. ,
DOI : 10.1073/pnas.0906705106
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729019
Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models, Physical Review E, vol.87, issue.1, p.12707, 2013. ,
DOI : 10.1103/PhysRevE.87.012707
Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data, Physical Review Letters, vol.106, issue.9, p.90601, 2011. ,
DOI : 10.1103/PhysRevLett.106.090601
URL : https://hal.archives-ouvertes.fr/hal-00566281
Susceptibility propagation by using diagonal consistency, Physical Review E, vol.87, issue.1, p.12134, 2013. ,
DOI : 10.1103/PhysRevE.87.012134
Mean-field method with correlations determined by linear response, Physical Review E, vol.87, issue.5, p.52111, 2013. ,
DOI : 10.1103/PhysRevE.87.052111
Belief propagation with multipoint correlations and its application to inverse problem, Journal of Physics: Conference Series, vol.473, p.12005, 2013. ,
DOI : 10.1088/1742-6596/473/1/012005
Item response theory : parameter estimation techniques (Marcel Dekker, 2004. ,
Pattern recognition and machine learning, p.15, 2006. ,