Adriano Barra

According to our database, Adriano Barra authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism.

Alberto Fachechi, Adriano Barra, Elena Agliari, Francesco Alemanno

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Hebbian dreaming for small datasets.

Elena Agliari, Francesco Alemanno, Miriam Aquaro, Adriano Barra, Fabrizio Durante, Ido Kanter

Neural Networks, 2024

2023

From Pavlov Conditioning to Hebb Learning.

Elena Agliari, Miriam Aquaro, Adriano Barra, Alberto Fachechi, Chiara Marullo

Neural Comput., May, 2023

2022

The emergence of a concept in shallow neural networks.

Elena Agliari, Francesco Alemanno, Adriano Barra, Giordano De Marzo

Neural Networks, 2022

Thermodynamics of bidirectional associative memories.

Adriano Barra, Giovanni Catania, Aurélien Decelle, Beatriz Seoane

CoRR, 2022

Supervised Hebbian learning: toward eXplainable AI.

Francesco Alemanno, Miriam Aquaro, Ido Kanter, Adriano Barra, Elena Agliari

CoRR, 2022

2021

On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model.

Francesca Elisa Leonelli, Elena Agliari, Linda Albanese, Adriano Barra

Neural Networks, 2021

2020

Generalized Guerra's interpolation schemes for dense associative neural networks.

Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi

Neural Networks, 2020

2019

Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones.

Alberto Fachechi, Elena Agliari, Adriano Barra

Neural Networks, 2019

2018

A new mechanical approach to handle generalized Hopfield neural networks.

Adriano Barra, Matteo Beccaria, Alberto Fachechi

Neural Networks, 2018

Dreaming neural networks: rigorous results.

Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi

CoRR, 2018

A relativistic extension of Hopfield neural networks via the mechanical analogy.

Adriano Barra, Matteo Beccaria, Alberto Fachechi

CoRR, 2018

Complex Reaction Kinetics in Chemistry: A Unified Picture Suggested by Mechanics in Physics.

Elena Agliari, Adriano Barra, Giulio Landolfi, Sara Murciano, Sarah Perrone

Complex., 2018

2017

Phase Diagram of Restricted Boltzmann Machines and Generalised Hopfield Networks with Arbitrary Priors.

Adriano Barra, Giuseppe Genovese, Daniele Tantari, Peter Sollich

CoRR, 2017

2016

Phase transitions in Restricted Boltzmann Machines with generic priors.

Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari

CoRR, 2016

2015

Hierarchical neural networks perform both serial and parallel processing.

Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Daniele Tantari, Flavia Tavani

Neural Networks, 2015

2014

Multitasking attractor networks with neuronal threshold noise.

Elena Agliari, Adriano Barra, Andrea Galluzzi, Marco Isopi

Neural Networks, 2014

A Walk in the Statistical Mechanical Formulation of Neural Networks - Alternative Routes to Hebb Prescription.

Elena Agliari, Adriano Barra, Andrea Galluzzi, Daniele Tantari, Flavia Tavani

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2013

Parallel retrieval of correlated patterns: From Hopfield networks to Boltzmann machines.

Elena Agliari, Adriano Barra, Andrea De Antoni, Andrea Galluzzi

Neural Networks, 2013

2012

On the equivalence of Hopfield networks and Boltzmann Machines.

Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci

Neural Networks, 2012

2011

On the equivalence of Hopfield Networks and Restricted Boltzmann Machines

Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci

CoRR, 2011

2010

A statistical mechanics approach to Granovetter theory

Adriano Barra, Elena Agliari

CoRR, 2010