1 citations · 1 across the 4 of their papers we have counts for
7 papers
Single-Layer MeMo as a Randomized Hamming-Kernel Classifier
Alessandro Straziota
MeMo (Zanzotto et al., 2025) is a recent language-model architecture that stores associations between token contexts and next tokens in a correlation matrix memory. In this work, w…
Detecting Large Quasi-cliques on Dynamic Networks
Luciano Gualà, Simone Pellegrini, Luca Pepè Sciarria +1
Motivated by the problem of detecting large and cohesive groups of vertices in real networks, the task of finding large \emph{quasi-cliques} has attracted considerable attention ac…
A Tour of Locality Sensitive Filtering on the Sphere
Luca Becchetti, Andrea Clementi, Luciano Gualà +3
The Approximate Near Neighbor (ANN) problem is a cornerstone of high-dimensional data analysis. While Locality Sensitive Hashing (LSH) has been the classical paradigm, recent work…
Approximate -hop neighborhoods on incremental graphs: An efficient lazy approach
Luca Becchetti, Andrea Clementi, Luciano Gualà +3
In this work, we propose, analyze and empirically validate a lazy-update approach to maintain accurate approximations of the -hop neighborhoods of dynamic graphs resulting from…
Temporal queries for dynamic temporal forests
Davide Bilò, Luciano Gualà, Stefano Leucci +2
In a temporal forest each edge has an associated set of time labels that specify the time instants in which the edges are available. A temporal path from vertex to vertex i…
Maintaining -MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria +1
We consider the task of performing Jaccard similarity queries over a large collection of items that are dynamically updated according to a streaming input model. An item here is a…
Graph Spanners for Group Steiner Distances
Davide Bilò, Luciano Gualà, Stefano Leucci +1
A spanner is a sparse subgraph of a given graph which preserves distances, measured w.r.t.\ some distance metric, up to a multiplicative stretch factor. This paper addresses th…