Simone Bombari

According to our database1, Simone Bombari authored at least 9 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Privacy for Free in the Over-Parameterized Regime.
CoRR, 2024

DP-KAN: Differentially Private Kolmogorov-Arnold Networks.
CoRR, 2024

Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How Spurious Features are Memorized: Precise Analysis for Random and NTK Features.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Stability, Generalization and Privacy: Precise Analysis for Random and NTK Features.
CoRR, 2023

Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.
Proceedings of the International Conference on Machine Learning, 2023

2022
Towards Differential Relational Privacy and its use in Question Answering.
CoRR, 2022

Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sharp asymptotics on the compression of two-layer neural networks.
Proceedings of the IEEE Information Theory Workshop, 2022


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