Stefano Peluchetti

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 20

Top Topics

Bayesian Nonparametric

Average Reward Reinforcement Learning

Top Venues

J. Mach. Learn. Res.

IEEE Control. Syst. Lett.

Publications

Stefano Peluchetti
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling. CoRR (2023)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Learning-augmented count-min sketches via Bayesian nonparametrics. J. Mach. Learn. Res. 24 (2023)
Stefano Peluchetti
Non-Denoising Forward-Time Diffusions. CoRR (2023)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Neural tangent kernel analysis of shallow α-Stable ReLU neural networks. CoRR (2022)
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Learning Stochastic Optimal Policies via Gradient Descent. IEEE Control. Syst. Lett. 6 (2022)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Learning-augmented count-min sketches via Bayesian nonparametrics. CoRR (2021)
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Learning Stochastic Optimal Policies via Gradient Descent. CoRR (2021)
Stefano Peluchetti, Stefano Favaro
Doubly infinite residual neural networks: a diffusion process approach. J. Mach. Learn. Res. 22 (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Infinite-channel deep stable convolutional neural networks. CoRR (2021)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
A Bayesian nonparametric approach to count-min sketch under power-law data streams. CoRR (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Large-width functional asymptotics for deep Gaussian neural networks. ICLR (2021)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Deep Stable neural networks: large-width asymptotics and convergence rates. CoRR (2021)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
A Bayesian nonparametric approach to count-min sketch under power-law data streams. AISTATS (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Large-width functional asymptotics for deep Gaussian neural networks. CoRR (2021)
Stefano Peluchetti, Stefano Favaro
Infinitely deep neural networks as diffusion processes. AISTATS (2020)
Stefano Peluchetti, Stefano Favaro, Sandra Fortini
Stable behaviour of infinitely wide deep neural networks. AISTATS (2020)
Stefano Peluchetti, Stefano Favaro
Doubly infinite residual networks: a diffusion process approach. CoRR (2020)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Stable behaviour of infinitely wide deep neural networks. CoRR (2020)
Stefano Peluchetti, Stefano Favaro
Neural Stochastic Differential Equations. CoRR (2019)
Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti
An empirical study of pretrained representations for few-shot classification. CoRR (2019)
Stefano Peluchetti, Gareth O. Roberts, Bruno Casella
The strong weak convergence of the quasi-EA. Queueing Syst. Theory Appl. 73 (4) (2013)