ALEJANDRO PARADA-MAYORGA

News

  • Invited talk, “Sampling and Uniqueness Sets in Graphon Signal Processing.” American Mathematical Society Western Sectional – Boise, March 7/8, 2026.
  • Our work “DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images” will be presented at IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2025 August 31-September 3, Istanbul/Turkey
  • Our paper “Sampling and Uniqueness Sets in Graphon Signal Processing” has been accepted for publication in IEEE Transactions on Signal Processing.
  • Our paper “Convolutional Filtering with RKHS Algebras” has been accepted for publication in IEEE Transactions on Signal Processing.
  • Our IEEE-TSP paper “Lie Group Algebra Convolutional Filters” has been accepted for presentation at ICASSP-2025.
  • Our paper “DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images” has been accepted for presentation at ICASSP-2025.
  • A new preprint is out: “Convolutional Filtering with RKHS Algebras”[link]
  • I am attending the 2024 Mathematical and Scientific Foundations of Deep Learning Annual Meeting, Simons Foundation, Flatiron Institute, NY. September 26-27
  • Invited talk, Codes and Expansions (CodEx) Seminar – theory and applications of harmonic analysis, combinatorics, and algebra, September 2024, “Algebraic Neural Networks: Stability to Deformations” [link]
  • Invited talk, Department of Mathematical and Statistical Sciences, University of Colorado (Denver), September 2024, “Algebraic Neural Networks: Stability to Deformations”
  • I started as a Tenure Track Assistant professor at the University of Colorado (Denver), August 2024
  • Invited talk, ECE Department, University of Colorado (Denver), April 2024, “Algebraic Neural Networks: Stability to Deformations”
  • Our paper, “Lie Group Algebra Convolutional Filters”, has been accepted for publication in IEEE Transactions on Signal Processing [link]
  • A new preprint is out: “Sampling and Uniqueness Sets in Graphon Signal Processing” [link]
  • Our IEEE-TSP published paper “Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs” has been accepted for presentation at ICASSP 2024
  • Our IEEE-TSP published paper “Convolutional Filters and Neural Networks With Noncommutative Algebras” has been accepted for presentation at ICASSP 2024
  • Our paper ” Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations” has been accepted for ICASSP 2024
  • Our paper “Stability of Aggregation Graph Neural Networks” has been accepted for publication in IEEE Transactions on Signal and Information Processing over Networks [link]
  • Poster presentation at the Fall Fourier Talks 2023, “The Algebraic Structure of Convolutional Machine Learning”, Norbert Wiener center, University of Maryland
  • Invited talk, Algebra Seminar in the Math Department, Temple University, October 2023, “Algebraic Neural Networks: Stability to Deformations”
  • Our paper “Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs” has been accepted in IEEE Transactions in Signal Proccessing [link]
  • Invited talk, SUMRY (summer math research program), Yale University, June 2023, “Algebraic Neural Networks: Stability to Deformations”
  • Our paper “Convolutional Filtering and Neural Networks with Non Commutative Algebras” has been accepted in IEEE Transactions in Signal Processing [link]
  • Poster presentation at the GSP workshop 2023, “Learning with Multigraph Convolutional Filters”, University of Oxford.
  • Poster presentation at ICASSP 2023, “Learning with Multigraph Convolutional Filters”
  • New paper is out: “Lie Group Algebra Convolutional Filters” [link]
  • I am a co-instructor in the GNNs course at ICASSP-2023 organized by Professor Alejandro Ribeiro
  • Invited talk, CIS department seminar at University of Delaware, 2023, “Algebraic Neural Networks: Stability to Deformations”.
  • Invited talk, CMSE department seminar at Michigan State University, 2023, “Algebraic Neural Networks: Stability to Deformations”, 2023.
  • Our paper “Convolutional Learning on Multigraphs” has been accepted in IEEE Transactions in Signal Processing [link]
  • Invited talk, ESE department seminar at University of Washington in St. Louis, 2023, “Algebraic Neural Networks: Stability to Deformations”.
  • New preprint is out: “Convolutional Learning on Multigraphs” [link]
  • New preprint is out: “Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs” [link] 
  • New preprint is out: “Stability of Aggregation Graph Neural Networks” [link]
  • Invited talk, ECE department seminar at University of Southern California, 2022, “Algebraic Neural Networks: Stability to Deformations”
  • Invited talk, ECE department seminar at Michigan state university, 2022, “Algebraic Neural Networks: Stability to Deformations”
  • Talk at the THEORINET Retreat 2021, “Algebraic Neural Networks”
  • New preprint is out: “Convolutional Filtering and Neural Networks with Non Commutative Algebras” [link]
  • Talk (delivered by professor Alejandro Ribeiro). Seminar “Physics meets Machine Learning” at CERN (2021) [video]
  • Presentation at ICASSP 2021, “Stability of Algebraic Neural Networks to Small Perturbations” [video]
  • Presentation at EUSIPCO 2020, “Graphon Pooling in Graph Neural Networks” [video]