About

Welcome to my website!. I am a postdoctoral researcher at University of Pennsylvania under the supervision of professor Alejandro Ribeiro. I received my Ph.D degree in electrical engineering from University of Delaware, DE, USA, and the B.Sc. and the Master’s degree in electrical engineering from Industrial University of Santander, Colombia.

News

  • I attended the 2021 Mathematical and Scientific Foundations of Deep Learning annual meeting
  • New talk about “Algebraic Neural Networks: Stability to Deformations“, at the THEORINET retreat. [slides]
  • New preprint is out:Convolutional Filtering and Neural Networks with Non Commutative Algebras” (submitted to IEEE TSP). [link]
  • New paper accepted: Our paper “Algebraic Neural Networks: Stability to Deformations” has been accepted for publication in the IEEE Transactions on Signal Processing. [link]
  • Video presentation for ICASSP 2021 about the paper “Stability of Algebraic Neural Networks to Small Perturbations” is available. [video]
  • My joint work with professor Alejandro Ribeiro about “Algebraic Neural Networks: Stability to Deformations” was presented at the seminar “Physics meets Machine Learning” at CERN. [video]
  • New paper accepted: A. Parada-Mayorga and A. Ribeiro, “Stability of Algebraic Neural Networks to Small Perturbations” ICASSP 2021. [link]
  • New talk about our work “Graphon Pooling in Graph Neural Networks” at EUSIPCO2020. [video][slides]
  • New online material available about algebraic neural networks. This is a lecture part of the Penn course in Graph Neural Networks [video]
  • My joint work with professor Alejandro Ribeiro about “Algebraic Neural Networks: Stability to Deformations” was presented at the Workshop on Equivariance and Data Augmentation at University of Pennsylvania, September 4, 2020. [video][slides]
  • Coming soon: D. Guillot, A. Parada-Mayorga, S. Cioaba and G.R. Arce, ”Uniqueness sets in the Paley-Wiener Space of Cographs”.