777 citations · 1.8k across the 46 of their papers we have counts for
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Data quality for the inverse Ising problem
Aurélien Decelle, Federico Ricci-Tersenghi, Pan Zhang
There are many methods proposed for inferring parameters of the Ising model from given data, that is a set of configurations generated according to the model itself. However little…
Inference of the sparse kinetic Ising model using the decimation method
Aurélien Decelle, Pan Zhang
In this paper we study the inference of the kinetic Ising model on sparse graphs by the decimation method. The decimation method, which was first proposed in [Phys. Rev. Lett. 112,…
Solving the inverse Ising problem by mean-field methods in a clustered phase space with many states
Aurélien Decelle, Federico Ricci-Tersenghi
In this work we explain how to properly use mean-field methods to solve the inverse Ising problem when the phase space is clustered, that is many states are present. The clustering…