928 citations · 1.6k across the 20 of their papers we have counts for
8 papers · 1 filter
Physics-Informed Topological Signal Processing for Water Distribution Network Monitoring
Tiziana Cattai, Stefania Sardellitti, Stefania Colonnese +2
Water management is one of the most critical aspects of our society, together with population increase and climate change. Water scarcity requires a better characterization and mon…
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck
S. Barbarossa, D. Comminiello, E. Grassucci +3
Semantic communications represent a significant breakthrough with respect to the current communication paradigm, as they focus on recovering the meaning behind the transmitted sequ…
Topological Signal Processing over Weighted Simplicial Complexes
Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa +1
Weighing the topological domain over which data can be represented and analysed is a key strategy in many signal processing and machine learning applications, enabling the extracti…
Topological Signal Processing over Generalized Cell Complexes
Stefania Sardellitti, Sergio Barbarossa
Topological Signal Processing (TSP) over simplicial complexes is a framework that has been recently proposed, as a generalization of graph signal processing (GSP), to extend GSP to…
Topological Signal Processing over Cell Complexes
Stefania Sardellitti, Sergio Barbarossa, Lucia Testa
The Topological Signal Processing (TSP) framework has been recently developed to analyze signals defined over simplicial complexes, i.e. topological spaces represented by finite se…
Topological Signal Processing over Simplicial Complexes
Sergio Barbarossa, Stefania Sardellitti
The goal of this paper is to establish the fundamental tools to analyze signals defined over a topological space, i.e. a set of points along with a set of neighborhood relations. T…
Graph topology inference based on sparsifying transform learning
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Graph-based representations play a key role in machine learning. The fundamental step in these representations is the association of a graph structure to a dataset. In this paper,…
The edge cloud: A holistic view of communication, computation and caching
Sergio Barbarossa, Stefania Sardellitti, Elena Ceci +1
The evolution of communication networks shows a clear shift of focus from just improving the communications aspects to enabling new important services, from Industry 4.0 to automat…