Simone Bombari

10 Publications

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[10]
2026 | Published | Thesis | PhD | IST-REx-ID: 22857 | OA
Bombari, Simone. Trustworthy Machine Learning in High Dimensions. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-22857.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Paper | IST-REx-ID: 22894 | OA
Iurada, Leonardo, et al. “A Law of Data Reconstruction for Random Features (and Beyond).” 14th International Conference on Learning Representations, vol. 2026, OpenReview, 2026, pp. 145275–314.
[Published Version] View | Files available | arXiv
 
[8]
2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Bombari, Simone, and Marco Mondelli. “Privacy for Free in the Overparameterized Regime.” Proceedings of the National Academy of Sciences, vol. 122, no. 15, e2423072122, National Academy of Sciences, 2025, doi:10.1073/pnas.2423072122.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 
[7]
2025 | Published | Conference Paper | IST-REx-ID: 21324 | OA
Bombari, Simone, and Marco Mondelli. “Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and over-Parameterization.” Proceedings of the 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 4839–73.
[Published Version] View | Files available | arXiv
 
[6]
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari, Simone, and Marco Mondelli. “Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4300–28.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari, Simone, and Marco Mondelli. “How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4267–99.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, et al. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 2738–76.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, et al. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop, IEEE, 2022, pp. 588–93, doi:10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2022 | Submitted | Preprint | IST-REx-ID: 12860 | OA
Bombari, Simone, et al. “Towards Differential Relational Privacy and Its Use in Question Answering.” ArXiv, 2203.16701, doi:10.48550/arXiv.2203.16701.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, et al. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” 36th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2022, pp. 7628–40.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
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10 Publications

Mark all

[10]
2026 | Published | Thesis | PhD | IST-REx-ID: 22857 | OA
Bombari, Simone. Trustworthy Machine Learning in High Dimensions. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-22857.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Paper | IST-REx-ID: 22894 | OA
Iurada, Leonardo, et al. “A Law of Data Reconstruction for Random Features (and Beyond).” 14th International Conference on Learning Representations, vol. 2026, OpenReview, 2026, pp. 145275–314.
[Published Version] View | Files available | arXiv
 
[8]
2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Bombari, Simone, and Marco Mondelli. “Privacy for Free in the Overparameterized Regime.” Proceedings of the National Academy of Sciences, vol. 122, no. 15, e2423072122, National Academy of Sciences, 2025, doi:10.1073/pnas.2423072122.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 
[7]
2025 | Published | Conference Paper | IST-REx-ID: 21324 | OA
Bombari, Simone, and Marco Mondelli. “Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and over-Parameterization.” Proceedings of the 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 4839–73.
[Published Version] View | Files available | arXiv
 
[6]
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari, Simone, and Marco Mondelli. “Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4300–28.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari, Simone, and Marco Mondelli. “How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4267–99.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, et al. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 2738–76.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, et al. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop, IEEE, 2022, pp. 588–93, doi:10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2022 | Submitted | Preprint | IST-REx-ID: 12860 | OA
Bombari, Simone, et al. “Towards Differential Relational Privacy and Its Use in Question Answering.” ArXiv, 2203.16701, doi:10.48550/arXiv.2203.16701.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, et al. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” 36th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2022, pp. 7628–40.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
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Citation Style: MLA

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