
Equilibrium and nonEquilibrium regimes in the learning of Restricted Boltzmann Machines
Training Restricted Boltzmann Machines (RBMs) has been challenging for a...
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Restricted Boltzmann Machine, recent advances and meanfield theory
This review deals with Restricted Boltzmann Machine (RBM) under the ligh...
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Robust MultiOutput Learning with Highly Incomplete Data via Restricted Boltzmann Machines
In a standard multioutput classification scenario, both features and la...
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GaussianSpherical Restricted Boltzmann Machines
We consider a special type of Restricted Boltzmann machine (RBM), namely...
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Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
We analyze the learning process of the restricted Boltzmann machine (RBM...
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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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Traffic data reconstruction based on Markov random field modeling
We consider the traffic data reconstruction problem. Suppose we have the...
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Pairwise MRF Calibration by Perturbation of the Bethe Reference Point
We investigate different ways of generating approximate solutions to the...
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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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Scaling Analysis of Affinity Propagation
We analyze and exploit some scaling properties of the Affinity Propagati...
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Cyril Furtlehner
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