Francesco Alemanno

According to our database, Francesco Alemanno authored at least 8 papers between 2018 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

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

Elena Agliari, Francesco Alemanno, Miriam Aquaro, Alberto Fachechi

Neural Networks, 2024

Hebbian dreaming for small datasets.

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

Neural Networks, 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

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