11 citations · 11 across the 1 of their papers we have counts for
5 papers
Stability of Algebraic Neural Networks to Small Perturbations
Alejandro Parada-Mayorga, Alejandro Ribeiro
Algebraic neural networks (AlgNNs) are composed of a cascade of layers each one associated to and algebraic signal model, and information is mapped between layers by means of a non…
Quiver Signal Processing (QSP)
Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro +1
In this paper we state the basics for a signal processing framework on quiver representations. A quiver is a directed graph and a quiver representation is an assignment of vector s…
Graphon Pooling in Graph Neural Networks
Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
Graph neural networks (GNNs) have been used effectively in different applications involving the processing of signals on irregular structures modeled by graphs. Relying on the use…
Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers
Edgar Salazar, Alejandro Parada-Mayorga, Gonzalo R. Arce
The recently introduced Spatial Spectral Compressive Spectral Imager (SSCSI) has been proposed as an alternative to carry out spatial and spectral coding using a binary on-off code…
Blue-Noise Sampling on Graphs
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo +1
In the area of graph signal processing, a graph is a set of nodes arbitrarily connected by weighted links; a graph signal is a set of scalar values associated with each node; and s…