Selected publications

Creativity in associtative memories

D’Amico, F., Bocchi, D., Bono, L. M. D., Rossi, S., & Negri, M. (2026). Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings. Physica A: Statistical Mechanics and Its Applications, 692, 131497.

Kalaj, S., Lauditi, C., Perugini, G., Lucibello, C., Malatesta, E. M., & Negri, M. (2025). Random features Hopfield networks generalize retrieval to previously unseen examples. Physica A: Statistical Mechanics and its Applications, 130946.

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.

Creativity in diffusion models

Pham, B., Zaki, M. J., Ambrogioni, L., Krotov, D., & Negri, M. (2026). Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data. arXiv preprint arXiv:2604.26841.

Pham, B., Raya, G., Negri, M., Zaki, M. J., Ambrogioni, L., & Krotov, D. (2025). Memorization to generalization: Emergence of diffusion models from associative memory. arXiv preprint arXiv:2505.21777.

Neural scaling laws

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.