Simone Bombari
7 Publications
2025 | Published | Journal Article | IST-REx-ID: 19627 | 
S. Bombari and M. Mondelli, “Privacy for free in the overparameterized regime,” Proceedings of the National Academy of Sciences, vol. 122, no. 15. National Academy of Sciences, 2025.
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18973 |
S. Bombari and M. Mondelli, “Towards understanding the word sensitivity of attention layers: A study via random features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4300–4328.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18972 |
S. Bombari and M. Mondelli, “How spurious features are memorized: Precise analysis for random and NTK features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4267–4299.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 12859 |
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.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 12860 |
S. Bombari et al., “Towards differential relational privacy and its use in question answering,” arXiv. .
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12537 |
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, New Orleans, LA, United States, 2022, vol. 35, pp. 7628–7640.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12538 |
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.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
Grants
7 Publications
2025 | Published | Journal Article | IST-REx-ID: 19627 |
S. Bombari and M. Mondelli, “Privacy for free in the overparameterized regime,” Proceedings of the National Academy of Sciences, vol. 122, no. 15. National Academy of Sciences, 2025.
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18973 |
S. Bombari and M. Mondelli, “Towards understanding the word sensitivity of attention layers: A study via random features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4300–4328.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18972 |
S. Bombari and M. Mondelli, “How spurious features are memorized: Precise analysis for random and NTK features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4267–4299.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 12859 |
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.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 12860 |
S. Bombari et al., “Towards differential relational privacy and its use in question answering,” arXiv. .
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12537 |
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, New Orleans, LA, United States, 2022, vol. 35, pp. 7628–7640.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12538 |
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.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv