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ORCIDStefano Peluchetti
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2020 – today
- 2024
[i15]Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti:
Function-Space MCMC for Bayesian Wide Neural Networks. CoRR abs/2408.14325 (2024)- [i14]Stefano Peluchetti:
BM2: Coupled Schrödinger Bridge Matching. CoRR abs/2409.09376 (2024) - 2023
- [j5]Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
Learning-augmented count-min sketches via Bayesian nonparametrics. J. Mach. Learn. Res. 24: 12:1-12:60 (2023) - [j4]Stefano Peluchetti:
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling. J. Mach. Learn. Res. 24: 374:1-374:51 (2023) - [i13]Stefano Peluchetti:
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling. CoRR abs/2304.00917 (2023) - [i12]Stefano Peluchetti:
Non-Denoising Forward-Time Diffusions. CoRR abs/2312.14589 (2023) - 2022
- [j3]Stefano Massaroli
, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Learning Stochastic Optimal Policies via Gradient Descent. IEEE Control. Syst. Lett. 6: 1094-1099 (2022) - [i11]Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Neural tangent kernel analysis of shallow α-Stable ReLU neural networks. CoRR abs/2206.08065 (2022) - 2021
- [j2]Stefano Peluchetti, Stefano Favaro:
Doubly infinite residual neural networks: a diffusion process approach. J. Mach. Learn. Res. 22: 175:1-175:48 (2021) - [c4]Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
A Bayesian nonparametric approach to count-min sketch under power-law data streams. AISTATS 2021: 226-234 - [c3]Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Large-width functional asymptotics for deep Gaussian neural networks. ICLR 2021 - [i10]Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Infinite-channel deep stable convolutional neural networks. CoRR abs/2102.03739 (2021) - [i9]Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
A Bayesian nonparametric approach to count-min sketch under power-law data streams. CoRR abs/2102.03743 (2021) - [i8]Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
Learning-augmented count-min sketches via Bayesian nonparametrics. CoRR abs/2102.04462 (2021) - [i7]Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Large-width functional asymptotics for deep Gaussian neural networks. CoRR abs/2102.10307 (2021) - [i6]Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Learning Stochastic Optimal Policies via Gradient Descent. CoRR abs/2106.03780 (2021) - [i5]Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Deep Stable neural networks: large-width asymptotics and convergence rates. CoRR abs/2108.02316 (2021) - 2020
- [c2]Stefano Peluchetti, Stefano Favaro:
Infinitely deep neural networks as diffusion processes. AISTATS 2020: 1126-1136 - [c1]Stefano Peluchetti, Stefano Favaro, Sandra Fortini:
Stable behaviour of infinitely wide deep neural networks. AISTATS 2020: 1137-1146 - [i4]Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Stable behaviour of infinitely wide deep neural networks. CoRR abs/2003.00394 (2020) - [i3]Stefano Peluchetti, Stefano Favaro:
Doubly infinite residual networks: a diffusion process approach. CoRR abs/2007.03253 (2020)
2010 – 2019
- 2019
- [i2]Stefano Peluchetti, Stefano Favaro:
Neural Stochastic Differential Equations. CoRR abs/1905.11065 (2019) - [i1]Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti:
An empirical study of pretrained representations for few-shot classification. CoRR abs/1910.01319 (2019) - 2013
- [j1]Stefano Peluchetti, Gareth O. Roberts, Bruno Casella:
The strong weak convergence of the quasi-EA. Queueing Syst. Theory Appl. 73(4): 447-460 (2013)
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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