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2020 – today
- 2024
[j6]Elena Agliari, Francesco Alemanno
, Miriam Aquaro, Adriano Barra, Fabrizio Durante, Ido Kanter:
Hebbian dreaming for small datasets. Neural Networks 173: 106174 (2024)- [j5]Elena Agliari, Francesco Alemanno, Miriam Aquaro, Alberto Fachechi:
Regularization, early-stopping and dreaming: A Hopfield-like setup to address generalization and overfitting. Neural Networks 177: 106389 (2024) - [j4]Alberto Fachechi, Adriano Barra, Elena Agliari, Francesco Alemanno:
Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1172-1181 (2024) - 2023
- [j3]Francesco Alemanno, Luca Camanzi, Gianluca Manzan, Daniele Tantari:
Hopfield model with planted patterns: A teacher-student self-supervised learning model. Appl. Math. Comput. 458: 128253 (2023) - [i4]Francesco Alemanno, Luca Camanzi, Gianluca Manzan, Daniele Tantari:
Hopfield model with planted patterns: a teacher-student self-supervised learning model. CoRR abs/2304.13710 (2023) - [i3]Elena Agliari, Miriam Aquaro, Francesco Alemanno, Alberto Fachechi:
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting. CoRR abs/2308.01421 (2023) - 2022
- [j2]Elena Agliari, Francesco Alemanno, Adriano Barra, Giordano De Marzo:
The emergence of a concept in shallow neural networks. Neural Networks 148: 232-253 (2022) - [i2]Francesco Alemanno, Miriam Aquaro, Ido Kanter, Adriano Barra, Elena Agliari:
Supervised Hebbian learning: toward eXplainable AI. CoRR abs/2203.01304 (2022) - 2020
- [j1]Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi:
Generalized Guerra's interpolation schemes for dense associative neural networks. Neural Networks 128: 254-267 (2020)
2010 – 2019
- 2018
- [i1]Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi:
Dreaming neural networks: rigorous results. CoRR abs/1812.09077 (2018)
Coauthor Index
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