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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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08/07/2023
The Copycat Perceptron: Smashing Barriers Through Collective Learning
We characterize the equilibrium properties of a model of y coupled binar...
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07/13/2023
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics
In this study, we address the challenge of using energy-based models to ...
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02/03/2023
Unsupervised hierarchical clustering using the learning dynamics of RBMs
Datasets in the real world are often complex and to some degree hierarch...
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01/23/2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models
In this paper, we quantify the impact of using non-convergent Markov cha...
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11/17/2022
Thermodynamics of bidirectional associative memories
In this paper we investigate the equilibrium properties of bidirectional...
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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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04/16/2019
