928 citations · 3.7k across the 56 of their papers we have counts for
4 papers · 1 filter
Topological Signal Processing and Learning: Recent Advances and Future Challenges
Elvin Isufi, Geert Leus, Baltasar Beferull-Lozano +2
Developing methods to process irregularly structured data is crucial in applications like gene-regulatory, brain, power, and socioeconomic networks. Graphs have been the go-to alge…
Opportunistic Information-Bottleneck for Goal-oriented Feature Extraction and Communication
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo +1
The Information Bottleneck (IB) method is an information theoretical framework to design a parsimonious and tunable feature-extraction mechanism, such that the extracted features a…
Robust Filter Design for Graph Signals
Lucia Testa, Stefania Sardellitti, Sergio Barbarossa
Our goal in this paper is the robust design of filters acting on signals observed over graphs subject to small perturbations of their edges. The focus is on developing a method to…
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
Eleonora Grassucci, Jihong Park, Sergio Barbarossa +3
While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimat…