61 citations · 125 across the 9 of their papers we have counts for
3 papers · 1 filter
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
Charles Camboulin, Diego Doimo, Aldo Glielmo
This work presents an analysis of the hidden representations of Variational Autoencoders (VAEs) using the Intrinsic Dimension (ID) and the Information Imbalance (II). We show that…
Density Estimation via Binless Multidimensional Integration
Matteo Carli, Alex Rodriguez, Alessandro Laio +1
We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonparametric, robust, and data-efficient density estimation. BMTI estimates the logarithm of…
Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
Antonio Di Noia, Iuri Macocco, Aldo Glielmo +2
The Intrinsic Dimension (ID) is a key concept in unsupervised learning and feature selection, as it is a lower bound to the number of variables which are necessary to describe a sy…