S. Bombari, S. Kiyani, and M. Mondelli, “Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, HI, United States, 2023, vol. 202, pp. 2738–2776.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

S. Bombari et al., “Towards differential relational privacy and its use in question answering,” arXiv. .
LibreCat: https://research-explorer.ista.ac.at/record/12860
DOI: 10.48550/arXiv.2203.16701
arXiv: 2203.16701

M. H. Amani, S. Bombari, M. Mondelli, R. Pukdee, and S. Rini, “Sharp asymptotics on the compression of two-layer neural networks,” IEEE Information Theory Workshop. IEEE, pp. 588–593, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/12538
DOI: 10.1109/ITW54588.2022.9965870
arXiv: 2205.08199

S. Bombari, M. H. Amani, and M. Mondelli, “Memorization and optimization in deep neural networks with minimum over-parameterization,” in 36th Conference on Neural Information Processing Systems, 2022, vol. 35, pp. 7628–7640.
LibreCat: https://research-explorer.ista.ac.at/record/12537
arXiv: 2205.10217