The strong weak convergence of the quasi-EA. - Stefano Peluchetti; Gareth O. Roberts; Bruno Casella (Queueing Syst. Theory Appl., 2013)

Neural Stochastic Differential Equations. - Stefano Peluchetti; Stefano Favaro (CoRR, 2019)

An empirical study of pretrained representations for few-shot classification. - Tiago Ramalho; Thierry Sousbie; Stefano Peluchetti (CoRR, 2019)

Infinitely deep neural networks as diffusion processes. - Stefano Peluchetti; Stefano Favaro (AISTATS, 2020)

Stable behaviour of infinitely wide deep neural networks. - Stefano Peluchetti; Stefano Favaro; Sandra Fortini (AISTATS, 2020)

Doubly infinite residual networks: a diffusion process approach. - Stefano Peluchetti; Stefano Favaro (CoRR, 2020)

A Bayesian nonparametric approach to count-min sketch under power-law data streams. - Emanuele Dolera; Stefano Favaro; Stefano Peluchetti (AISTATS, 2021)

Large-width functional asymptotics for deep Gaussian neural networks. - Daniele Bracale; Stefano Favaro; Sandra Fortini; Stefano Peluchetti (ICLR, 2021)

Infinite-channel deep stable convolutional neural networks. - Daniele Bracale; Stefano Favaro; Sandra Fortini; Stefano Peluchetti (CoRR, 2021)

Deep Stable neural networks: large-width asymptotics and convergence rates. - Stefano Favaro; Sandra Fortini; Stefano Peluchetti (CoRR, 2021)

Doubly infinite residual neural networks: a diffusion process approach. - Stefano Peluchetti; Stefano Favaro (J. Mach. Learn. Res., 2021)

Neural tangent kernel analysis of shallow α-Stable ReLU neural networks. - Stefano Favaro; Sandra Fortini; Stefano Peluchetti (CoRR, 2022)

Learning Stochastic Optimal Policies via Gradient Descent. - Stefano Massaroli; Michael Poli; Stefano Peluchetti; Jinkyoo Park; Atsushi Yamashita; Hajime Asama (IEEE Control. Syst. Lett., 2022)

Non-Denoising Forward-Time Diffusions. - Stefano Peluchetti (CoRR, 2023)

Learning-augmented count-min sketches via Bayesian nonparametrics. - Emanuele Dolera; Stefano Favaro; Stefano Peluchetti (J. Mach. Learn. Res., 2023)

Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling. - Stefano Peluchetti (J. Mach. Learn. Res., 2023)

Large-width asymptotics and training dynamics of α-Stable ReLU neural networks. - Stefano Favaro; Sandra Fortini; Stefano Peluchetti (Trans. Mach. Learn. Res., 2024)

Function-Space MCMC for Bayesian Wide Neural Networks. - Lucia Pezzetti; Stefano Favaro; Stefano Peluchetti (AISTATS, 2025)

BM2: Coupled Schrödinger Bridge Matching. - Stefano Peluchetti (Trans. Mach. Learn. Res., 2025)