18 citations · 47 across the 10 of their papers we have counts for
14 papers
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
Sérgio Machado, Anirudh Sridhar, Paulo Gil +3
We study the problem of graph structure identification, i.e., of recovering the graph of dependencies among time series. We model these time series data as components of the state…
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neu…
Learning Graph Influence from Social Interactions
Vincenzo Matta, Virginia Bordignon, Augusto Santos +1
In social learning, agents form their opinions or beliefs about certain hypotheses by exchanging local information. This work considers the recent paradigm of weak graphs, where th…
Graph Learning Under Partial Observability
Vincenzo Matta, Augusto Santos, Ali H. Sayed
Many optimization, inference and learning tasks can be accomplished efficiently by means of decentralized processing algorithms where the network topology (i.e., the graph) plays a…
Interplay between Topology and Social Learning over Weak Graphs
Vincenzo Matta, Virginia Bordignon, Augusto Santos +1
We consider a social learning problem, where a network of agents is interested in selecting one among a finite number of hypotheses. We focus on weakly-connected graphs where the n…
Topology Inference over Networks with Nonlinear Coupling
Augusto Santos, Vincenzo Matta, Ali H. Sayed
This work examines the problem of topology inference over discrete-time nonlinear stochastic networked dynamical systems. The goal is to recover the underlying digraph linking the…