Francesco Alemanno

According to our database, Francesco Alemanno authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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

2023

Hopfield model with planted patterns: A teacher-student self-supervised learning model.

Francesco Alemanno, Luca Camanzi, Gianluca Manzan, Daniele Tantari

Appl. Math. Comput., December, 2023

Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting.

Elena Agliari, Miriam Aquaro, Francesco Alemanno, Alberto Fachechi

CoRR, 2023

2022

The emergence of a concept in shallow neural networks.

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

Neural Networks, 2022

Supervised Hebbian learning: toward eXplainable AI.

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

CoRR, 2022

2020

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

Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi

Neural Networks, 2020

2018

Dreaming neural networks: rigorous results.

Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi

CoRR, 2018