Stefano Peluchetti
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Academic Marathon (5) ๐ Cross-Pollinator (14)
๐
Renaissance Researcher
(5)
๐บ๏ธ
Taxonomy Completionist
(17)
๐ฃ
Hot Topic Early Bird
Conferences
AISTATS (4)
JMLR (3)
ICLR (1)
Top co-authors
Keywords
bayesian nonparametrics
(2)
stochastic differential equation
(2)
diffusion process
(2)
infinite width
(2)
count-min sketch
(2)
neural network
(2)
stochastic process
(2)
residual network
(2)
deep neural network
(2)
data stream
(1)
frequency estimation
(1)
stable distribution
(1)
feedforward network
(1)
schrodinger bridge
(1)
neural network initialization
(1)
infinite depth
(1)
parameter distribution
(1)
inverse gaussian process
(1)
infinite wide limit
(1)
generative modeling
(1)
Papers
Function-Space MCMC for Bayesian Wide Neural Networks
AISTATS 2025
Learning-augmented count-min sketches via Bayesian nonparametrics
JMLR 2023
Diffusion Bridge Mixture Transports, Schrรถdinger Bridge Problems and Generative Modeling
JMLR 2023
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021
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
Infinitely deep neural networks as diffusion processes
AISTATS 2020
Stable behaviour of infinitely wide deep neural networks
AISTATS 2020