74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aldo Glielmo3 profiles9 · h 5
- A. Laio5 · h 55
- Luigi Bellomarini2 profiles5 · h 14
- Emanuel Sallinger3 · h 15
- Iuri Macocco3 · h 5
- Luca Guarnera3 · h 15
- Marco Favorito2 profiles3 · h 12
- Oliver Giudice3 · h 15
- S. Battiato3 · h 43
- Alex Rodriguez2 profiles2 · h 18
- A. Mercatanti2 · h 10
- Andrea Coletta2 profiles2 · h 2
- Scuola Internazionale Superiore di Studi AvanzatiIT5 papers
- Sapienza University of RomeIT4 papers
- The Abdus Salam International Centre for Theoretical Physics (ICTP)IT3 papers
- TU WienAT3 papers
- University of CataniaIT3 papers
- University of OxfordGB3 papers
- Duke UniversityUS2 papers
- ETH ZurichCH2 papers
- Roma Tre UniversityIT2 papers
- Università Cattolica del Sacro CuoreIT2 papers
- University of Milano-BicoccaIT2 papers
- University of TriesteIT2 papers
4 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,…
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…