162 citations · 488 across the 53 of their papers we have counts for
8 papers · 1 filter
Upscaling human activity data: an ecological perspective
Anna Tovo, Samuele Stivanello, Amos Maritan +3
In recent years we have witnessed an explosion of data collected for different human dynamics, from email communication to social networks activities. Extract useful information fr…
More for less: Predicting and maximizing genetic variant discovery via Bayesian nonparametrics
Lorenzo Masoero, Federico Camerlenghi, Stefano Favaro +1
While the cost of sequencing genomes has decreased dramatically in recent years, this expense often remains non-trivial. Under a fixed budget, then, scientists face a natural trade…
Bayesian nonparametric temporal dynamic clustering via autoregressive Dirichlet priors
Maria De Iorio, Stefano Favaro, Alessandra Guglielmi +1
In this paper we consider the problem of dynamic clustering, where cluster memberships may change over time and clusters may split and merge over time, thus creating new clusters a…
Nonparametric Bayesian multi-armed bandits for single cell experiment design
Federico Camerlenghi, Bianca Dumitrascu, Federico Ferrari +2
The problem of maximizing cell type discovery under budget constraints is a fundamental challenge for the collection and analysis of single-cell RNA-sequencing (scRNA-seq) data. In…
Infinitely deep neural networks as diffusion processes
Stefano Peluchetti, Stefano Favaro
When the parameters are independently and identically distributed (initialized) neural networks exhibit undesirable properties that emerge as the number of layers increases, e.g. a…
Consistent estimation of the missing mass for feature models
Fadhel Ayed, Marco Battiston, Federico Camerlenghi +1
Feature models are popular in machine learning and they have been recently used to solve many unsupervised learning problems. In these models every observation is endowed with a fi…