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Kalaj, S., Lauditi, C., Perugini, G., Lucibello, C., Malatesta, E. M., & Negri, M. (2024). Random Features Hopfield Networks generalize retrieval to previously unseen examples. ArXiv Preprint ArXiv:2407.05658.
Serricchio, L., Bocchi, D., Chilin, C., Marino, R., Negri, M., Cammarota, C., & Ricci-Tersenghi, F. (2025). Daydreaming Hopfield networks and their surprising effectiveness on correlated data. Neural Networks, 107216.
Negri, M., Lauditi, C., Perugini, G., Lucibello, C., & Malatesta, E. (2023). Storage and Learning phase transitions in the Random-Features Hopfield Model. Physical Review Letters, 131(25), 257301.
D'Amico, F., Bocchi, D., & Negri, M. (2025). Implicit bias produces neural scaling laws in learning curves, from perceptrons to deep networks. arXiv preprint arXiv:2505.13230.
D'Amico, F., Rossi, S., Del Bono, L. M., & Negri, M. Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings. In New Frontiers in Associative Memories. https://openreview.net/forum?id=T8MsK8lkeJ
Pham, B., Raya, G., Negri, M., Zaki, M. J., Ambrogioni, L., & Krotov, D. Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory. In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning.
D’Amico, F., & Negri, M. (2024, July). Self-attention as an attractor network: transient memories without backpropagation. In 2024 IEEE Workshop on Complexity in Engineering (COMPENG) (pp. 1-6). IEEE.
Ancora, D., Negri, M., Gianfrate, A., Trypogeorgos, D., Dominici, L., Sanvitto, D., Ricci-Tersenghi, F., & Leuzzi, L. (2024). Low-power multimode-fiber projector outperforms shallow-neural-network classifiers. Physical Review Applied, 21(6), 064027.
Negri, M., Tiana, G., & Zecchina, R. (2021). Native state of natural proteins optimizes local entropy. Physical Review E, 104(6), 064117.
Baldassi, C., Malatesta, E. M., Negri, M., & Zecchina, R. (2020). Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. Journal of Statistical Mechanics: Theory and Experiment, 2020(12), 124012.
Negri, M., Bergamini, D., Baldassi, C., Zecchina, R., & Feinauer, C. (2019). Natural representation of composite data with replicated autoencoders. ArXiv Preprint ArXiv:1909.13327.
Negri, M., Gherardi, M., Tiana, G., & Lagomarsino, M. C. (2018). Spontaneous domain formation in disordered copolymers as a mechanism for chromosome structuring. Soft Matter, 14(29), 6128–6136.
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