| Memorization and optimization in deep neural networks with minimum over-parameterization S Bombari, MH Amani, M Mondelli Proc. of the Conference on Neural Information Processing Systems (NeurIPS'22), 2022 | 48 | 2022 |
| Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels S Bombari, S Kiyani, M Mondelli Proceedings of the 40th International Conference on Machine Learning, 2023 | 16 | 2023 |
| How Spurious Features are Memorized: Precise Analysis for Random and NTK Features S Bombari, M Mondelli Proceedings of the 41st International Conference on Machine Learning, 2024 | 12* | 2024 |
| Privacy for free in the overparameterized regime S Bombari, M Mondelli Proceedings of the National Academy of Sciences 122 (15), e2423072122, 2025 | 9 | 2025 |
| Better Rates for Private Linear Regression in the Proportional Regime via Aggressive Clipping S Bombari, I Seroussi, M Mondelli arXiv preprint arXiv:2505.16329, 2025 | 5 | 2025 |
| Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization S Bombari, M Mondelli arXiv preprint arXiv:2502.01347, 2025 | 4 | 2025 |
| Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features S Bombari, M Mondelli Proceedings of the 41st International Conference on Machine Learning, 2024 | 3 | 2024 |
| DP-KAN: Differentially Private Kolmogorov-Arnold Networks NP Kalinin, S Bombari, H Zakerinia, CH Lampert arXiv preprint arXiv:2407.12569, 2024 | 1 | 2024 |
| Towards Differential Relational Privacy and its use in Question Answering S Bombari, A Achille, Z Wang, YX Wang, Y Xie, KY Singh, S Appalaraju, ... arXiv preprint arXiv:2203.16701, 2022 | 1 | 2022 |
| A Law of Data Reconstruction for Random Features (and Beyond) L Iurada, S Bombari, T Tommasi, M Mondelli arXiv preprint arXiv:2509.22214, 2025 | | 2025 |
| Sharp asymptotics on the compression of two-layer neural networks MH Amani, S Bombari, M Mondelli, R Pukdee, S Rini 2022 IEEE Information Theory Workshop (ITW), 588-593, 2022 | | 2022 |
Marco MondelliProfessor, IST AustriaVerified email at ist.ac.at
