Simone Bombari
Graduate School
Mondelli Group
4 Publications
2023 | 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.
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2022 | Preprint | IST-REx-ID: 12860 |
S. Bombari et al., “Towards differential relational privacy and its use in question answering,” arXiv. .
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2022 | 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.
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2022 | 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, 2022, vol. 35, pp. 7628–7640.
[Preprint]
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| Download Preprint (ext.)
| arXiv
4 Publications
2023 | 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 | 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 | 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.)
| arXiv
2022 | 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, 2022, vol. 35, pp. 7628–7640.
[Preprint]
View
| Download Preprint (ext.)
| arXiv