Stefano Peluchetti
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Architectures
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Optimization & Theory · Deep Learning
(2)
Probability
(2)
Data Science & Analytics
(1)
Core Methods
(1)
Learning Paradigms
(1)
Methods
(1)
Models
(1)
Keywords
neural network
(3)
bayesian nonparametrics
(2)
infinite width
(2)
count-min sketch
(2)
diffusion process
(2)
residual network
(2)
deep neural network
(2)
stochastic process
(2)
gaussian process
(2)
stochastic differential equation
(2)
effective sample size
(1)
power-law distribution
(1)
diffusion model
(1)
data stream
(1)
frequency estimation
(1)
stable distribution
(1)
feed-forward network
(1)
bayesian neural network
(1)
langevin monte carlo
(1)
schrodinger bridge
(1)
Papers
Function-Space MCMC for Bayesian Wide Neural Networks
AISTATS 2025
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
JMLR 2023
Learning-augmented count-min sketches via Bayesian nonparametrics
JMLR 2023
A Bayesian nonparametric approach to count-min sketch under power-law data streams
AISTATS 2021
Doubly infinite residual neural networks: a diffusion process approach
JMLR 2021
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021
Infinitely deep neural networks as diffusion processes
AISTATS 2020
Stable behaviour of infinitely wide deep neural networks
AISTATS 2020