61 citations · 125 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Intrinsic dimension estimation for discrete metrics
Iuri Macocco, Aldo Glielmo, Jacopo Grilli +1
Real world-datasets characterized by discrete features are ubiquitous: from categorical surveys to clinical questionnaires, from unweighted networks to DNA sequences. Nevertheless,…
Redundant representations help generalization in wide neural networks
Diego Doimo, Aldo Glielmo, Sebastian Goldt +1
Deep neural networks (DNNs) defy the classical bias-variance trade-off: adding parameters to a DNN that interpolates its training data will typically improve its generalization per…
Ranking the information content of distance measures
Aldo Glielmo, Claudio Zeni, Bingqing Cheng +2
Real-world data typically contain a large number of features that are often heterogeneous in nature, relevance, and also units of measure. When assessing the similarity between dat…