3 citations · 4 across the 2 of their papers we have counts for
3 papers
stat.ML2022★ 3 cited
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee, Fadhel Ayed, Paul Jung +3
This article studies the infinite-width limit of deep feedforward neural networks whose weights are dependent, and modelled via a mixture of Gaussian distributions. Each hidden nod…
stat.ME2020★ 1 cited
The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties
Fadhel Ayed, Juho Lee, François Caron
Pure-jump Lévy processes are popular classes of stochastic processes which have found many applications in finance, statistics or machine learning. In this paper, we propose a nove…
stat.ME2017
Non-exchangeable random partition models for microclustering
Giuseppe Di Benedetto, François Caron, Yee Whye Teh
Many popular random partition models, such as the Chinese restaurant process and its two-parameter extension, fall in the class of exchangeable random partitions, and have found wi…