338 citations · 1.3k across the 45 of their papers we have counts for
3 papers · 1 filter
Observing and Tracking Bandlimited Graph Processes
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo +1
One of the most crucial challenges in graph signal processing is the sampling of bandlimited graph signals, i.e., signals that are sparse in a well-defined graph Fourier domain. So…
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi +2
The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly time-varying) subset of vertices. We…
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane, Paolo Di Lorenzo
This paper proposes a new family of algorithms for training neural networks (NNs). These are based on recent developments in the field of non-convex optimization, going under the g…