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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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05/02/2022
The mighty force: statistical inference and high-dimensional statistics
This is a review to appear as a contribution to the edited volume "Spin ...
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06/16/2021
Regularization of Mixture Models for Robust Principal Graph Learning
A regularized version of Mixture Models is proposed to learn a principal...
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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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11/10/2020
Encoding large scale cosmological structure with Generative Adversarial Networks
Recently a type of neural networks called Generative Adversarial Network...
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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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04/16/2019
Learning a Gauge Symmetry with Neural Networks
We explore the capacity of neural networks to detect a symmetry with com...
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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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10/14/2014