Sandra Fortini

According to our database, Sandra Fortini authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Large-width asymptotics and training dynamics of α-Stable ReLU neural networks.

Stefano Favaro, Sandra Fortini, Stefano Peluchetti

Trans. Mach. Learn. Res., 2024

Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities.

Alberto Bordino, Stefano Favaro, Sandra Fortini

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2024

2022

Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions.

Alberto Bordino, Stefano Favaro, Sandra Fortini

Trans. Mach. Learn. Res., 2022

Neural tangent kernel analysis of shallow α-Stable ReLU neural networks.

Stefano Favaro, Sandra Fortini, Stefano Peluchetti

CoRR, 2022

2021

Deep Stable neural networks: large-width asymptotics and convergence rates.

Stefano Favaro, Sandra Fortini, Stefano Peluchetti

CoRR, 2021

Infinite-channel deep stable convolutional neural networks.

Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti

CoRR, 2021

Large-width functional asymptotics for deep Gaussian neural networks.

Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Stable behaviour of infinitely wide deep neural networks.

Stefano Peluchetti, Stefano Favaro, Sandra Fortini

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020