Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data

(2011) S. Cocco et al.   PHYSICAL REVIEW LETTERS

High-dimensional Ising model selection using ℓ 1 -regularized logistic regression

(2010) Pradeep Ravikumar et al.   ANNALS OF STATISTICS

Learning generative models for protein fold families

(2010) Sivaraman Balakrishnan et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Small-correlation expansions for the inverse Ising problem

(2009) Vitor Sessak et al.   Journal of Physics A-Mathematical and Theoretical

Constraint satisfaction problems and neural networks: A statistical physics perspective

(2009) Marc Mézard et al.   JOURNAL OF PHYSIOLOGY-PARIS

Replay of rule-learning related neural patterns in the prefrontal cortex during sleep

(2009) Adrien Peyrache et al.   NATURE NEUROSCIENCE

Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations

(2009) O. Marre et al.   PHYSICAL REVIEW LETTERS

Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods

(2009) S. Cocco et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Statistical physics of pairwise probability models

(2009) Yasser Roudi   Frontiers in Computational Neuroscience

Identification of direct residue contacts in protein-protein interaction by message passing

(2008) M. Weigt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA