Simone Bombari

17 papers A* 5B 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Law of Data Reconstruction for Random Features (and Beyond).
CoRR
Leonardo Iurada, Simone Bombari, Tatiana Tommasi, Marco Mondelli
2025 J jnl
Better Rates for Private Linear Regression in the Proportional Regime via Aggressive Clipping.
CoRR
Simone Bombari, Inbar Seroussi, Marco Mondelli
2025 A* conf
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization.
ICML
Simone Bombari, Marco Mondelli
2025 J jnl
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization.
CoRR
Simone Bombari, Marco Mondelli
2024 J jnl
DP-KAN: Differentially Private Kolmogorov-Arnold Networks.
CoRR
Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert
2024 A* conf
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features.
ICML
Simone Bombari, Marco Mondelli
2024 J jnl
Privacy for Free in the Over-Parameterized Regime.
CoRR
Simone Bombari, Marco Mondelli
2024 A* conf
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.
ICML
Simone Bombari, Marco Mondelli
2024 J jnl
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.
CoRR
Simone Bombari, Marco Mondelli
2023 A* conf
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.
ICML
Simone Bombari, Shayan Kiyani, Marco Mondelli
2023 J jnl
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.
CoRR
Simone Bombari, Shayan Kiyani, Marco Mondelli
2023 J jnl
Stability, Generalization and Privacy: Precise Analysis for Random and NTK Features.
CoRR
Simone Bombari, Marco Mondelli
2022 A* conf
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization.
NeurIPS
Simone Bombari, Mohammad Hossein Amani, Marco Mondelli
2022 J jnl
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization.
CoRR
Simone Bombari, Mohammad Hossein Amani, Marco Mondelli
2022 B conf
Sharp asymptotics on the compression of two-layer neural networks.
ITW
Mohammad Hossein Amani, Simone Bombari, Marco Mondelli, Rattana Pukdee, Stefano Rini
2022 J jnl
Sharp asymptotics on the compression of two-layer neural networks.
CoRR
Mohammad Hossein Amani, Simone Bombari, Marco Mondelli, Rattana Pukdee, Stefano Rini
2022 J jnl
Towards Differential Relational Privacy and its use in Question Answering.
CoRR
Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto