research
∙
08/08/2022
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
We study the problem of graph structure identification, i.e., of recover...
share
research
∙
05/20/2022
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
Convolutional Neural Networks (ConvNets or CNNs) have been candidly depl...
research
∙
02/12/2020
Learning Graph Influence from Social Interactions
In social learning, agents form their opinions or beliefs about certain ...
research
∙
12/18/2019
Inverse Graph Learning over Optimization Networks
Many inferential and learning tasks can be accomplished efficiently by m...
research
∙
10/30/2019
Interplay between Topology and Social Learning over Weak Graphs
We consider a social learning problem, where a network of agents is inte...
research
∙
06/21/2019
Topology Inference over Networks with Nonlinear Coupling
This work examines the problem of topology inference over discrete-time ...
research
∙
04/05/2019
Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity?
This work examines the problem of graph learning over a diffusion networ...
research
∙
05/23/2018
