| Supervised hebbian learning F Alemanno, M Aquaro, I Kanter, A Barra, E Agliari Europhysics Letters 141 (1), 11001, 2023 | 29 | 2023 |
| From Pavlov conditioning to Hebb learning E Agliari, M Aquaro, A Barra, A Fachechi, C Marullo Neural Computation 35 (5), 930-957, 2023 | 6 | 2023 |
| Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting E Agliari, F Alemanno, M Aquaro, A Fachechi Neural Networks 177, 106389, 2024 | 5 | 2024 |
| Hebbian dreaming for small datasets E Agliari, F Alemanno, M Aquaro, A Barra, F Durante, I Kanter Neural Networks 173, 106174, 2024 | 3 | 2024 |
| Recurrent neural networks that generalize from examples and optimize by dreaming M Aquaro, F Alemanno, I Kanter, F Durante, E Agliari, A Barra arXiv preprint arXiv:2204.07954, 2022 | 3 | 2022 |
| Supervised hebbian learning: toward explainable ai F Alemanno, M Aquaro, I Kanter, A Barra, E Agliari arXiv e-prints, arXiv: 2203.01304, 2022 | 2 | 2022 |
| Ultrametric identities in glassy models of natural evolution E Agliari, F Alemanno, M Aquaro, A Barra Journal of Physics A: Mathematical and Theoretical 56 (38), 385001, 2023 | 1 | 2023 |
| Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines A Fachechi, E Agliari, M Aquaro, A Coolen, M Mulder arXiv preprint arXiv:2406.09924, 2024 | | 2024 |
| Learning in associative networks through Pavlovian dynamics M Aquaro, D Lotito, C Marullo arXiv preprint arXiv:2405.03823, 2024 | | 2024 |
| Pavlov Learning Machines E Agliari, M Aquaro, A Barra, A Fachechi, C Marullo arXiv preprint arXiv:2207.00790, 2022 | | 2022 |
| Hebbian Dreaming for Small Datasets M Aquaro, F Alemanno, I Kanter, F Durante, A Barra, E Agliari Available at SSRN 4520891, 0 | | |
