Simone Bombari

Graduate School
Mondelli Group

4 Publications

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[4]
2023 | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, S., Kiyani, S., & Mondelli, M. (2023). 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 (Vol. 202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Preprint | IST-REx-ID: 12860 | OA
Bombari, S., Achille, A., Wang, Z., Wang, Y.-X., Xie, Y., Singh, K. Y., … Soatto, S. (n.d.). Towards differential relational privacy and its use in question answering. arXiv. https://doi.org/10.48550/arXiv.2203.16701
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2022 | Journal Article | IST-REx-ID: 12538 | OA
Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., & Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE. https://doi.org/10.1109/ITW54588.2022.9965870
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, S., Amani, M. H., & Mondelli, M. (2022). Memorization and optimization in deep neural networks with minimum over-parameterization. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7628–7640). Curran Associates.
[Preprint] View | Download Preprint (ext.) | arXiv
 
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4 Publications

Mark all

[4]
2023 | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, S., Kiyani, S., & Mondelli, M. (2023). 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 (Vol. 202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Preprint | IST-REx-ID: 12860 | OA
Bombari, S., Achille, A., Wang, Z., Wang, Y.-X., Xie, Y., Singh, K. Y., … Soatto, S. (n.d.). Towards differential relational privacy and its use in question answering. arXiv. https://doi.org/10.48550/arXiv.2203.16701
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2022 | Journal Article | IST-REx-ID: 12538 | OA
Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., & Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE. https://doi.org/10.1109/ITW54588.2022.9965870
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, S., Amani, M. H., & Mondelli, M. (2022). Memorization and optimization in deep neural networks with minimum over-parameterization. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7628–7640). Curran Associates.
[Preprint] View | Download Preprint (ext.) | arXiv
 
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