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Alejandro Parada-Mayorga

University of Pennsylvania

19 papers hereh-index 10256 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author12
  • middle author6

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG11
  • eess.SP6
  • cs.CV1
  • eess.IV1
affiliations
  • University of Pennsylvania
Homepage

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedAlgebraic Neural Networks: Stability to Deformations

26 citations · 61 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020

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…

eess.SP2020★ 2 cited

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…

cs.LG2020★ 26 cited

Algebraic Neural Networks: Stability to Deformations

Alejandro Parada-Mayorga, Alejandro Ribeiro

We study algebraic neural networks (AlgNNs) with commutative algebras which unify diverse architectures such as Euclidean convolutional neural networks, graph neural networks, and…

cs.LG2020

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.