Miriam Aquaro

According to our database, Miriam Aquaro authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

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

Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines.

Alberto Fachechi, Elena Agliari, Miriam Aquaro, Anthony Coolen, Menno Mulder

CoRR, 2024

2023

From Pavlov Conditioning to Hebb Learning.

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

Neural Comput., May, 2023

2022

Supervised Hebbian learning: toward eXplainable AI.

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

CoRR, 2022