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. https://doi.org/10.15479/AT-ISTA-22857.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Paper | IST-REx-ID: 22894 | OA
Iurada, Leonardo, Simone Bombari, Tatiana Tommasi, and Marco Mondelli. “A Law of Data Reconstruction for Random Features (and Beyond).” In 14th International Conference on Learning Representations, 2026:145275–314. OpenReview, 2026.
[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. National Academy of Sciences, 2025. https://doi.org/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.” In Proceedings of the 42nd International Conference on Machine Learning, 267:4839–73. ML Research Press, 2025.
[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.” In 41st International Conference on Machine Learning, 235:4300–4328. ML Research Press, 2024.
[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.” In 41st International Conference on Machine Learning, 235:4267–99. ML Research Press, 2024.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, Shayan Kiyani, and Marco 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, 202:2738–76. ML Research Press, 2023.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2022 | Submitted | Preprint | IST-REx-ID: 12860 | OA
Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2203.16701.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Neural Information Processing Systems Foundation, 2022.
[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. https://doi.org/10.15479/AT-ISTA-22857.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Paper | IST-REx-ID: 22894 | OA
Iurada, Leonardo, Simone Bombari, Tatiana Tommasi, and Marco Mondelli. “A Law of Data Reconstruction for Random Features (and Beyond).” In 14th International Conference on Learning Representations, 2026:145275–314. OpenReview, 2026.
[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. National Academy of Sciences, 2025. https://doi.org/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.” In Proceedings of the 42nd International Conference on Machine Learning, 267:4839–73. ML Research Press, 2025.
[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.” In 41st International Conference on Machine Learning, 235:4300–4328. ML Research Press, 2024.
[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.” In 41st International Conference on Machine Learning, 235:4267–99. ML Research Press, 2024.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, Shayan Kiyani, and Marco 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, 202:2738–76. ML Research Press, 2023.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[3]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2022 | Submitted | Preprint | IST-REx-ID: 12860 | OA
Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2203.16701.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Neural Information Processing Systems Foundation, 2022.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
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Citation Style: Chicago

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