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09/05/2023
Inferring effective couplings with Restricted Boltzmann Machines
Generative models offer a direct way to model complex data. Among them, ...
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06/02/2022
Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling
Restricted Boltzmann Machines are simple and powerful generative models ...
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05/28/2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Training Restricted Boltzmann Machines (RBMs) has been challenging for a...
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11/23/2020
Restricted Boltzmann Machine, recent advances and mean-field theory
This review deals with Restricted Boltzmann Machine (RBM) under the ligh...
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12/19/2019
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
In a standard multi-output classification scenario, both features and la...
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10/31/2019
Gaussian-Spherical Restricted Boltzmann Machines
We consider a special type of Restricted Boltzmann machine (RBM), namely...
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03/05/2018
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
We analyze the learning process of the restricted Boltzmann machine (RBM...
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12/23/2013
Using Latent Binary Variables for Online Reconstruction of Large Scale Systems
We propose a probabilistic graphical model realizing a minimal encoding ...
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06/27/2013
Traffic data reconstruction based on Markov random field modeling
We consider the traffic data reconstruction problem. Suppose we have the...
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10/19/2012
Pairwise MRF Calibration by Perturbation of the Bethe Reference Point
We investigate different ways of generating approximate solutions to the...
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07/19/2012
Local stability of Belief Propagation algorithm with multiple fixed points
A number of problems in statistical physics and computer science can be ...
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10/09/2009