Alejandro Parada-Mayorga

36 papers Misc 5Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
RKHS Representation of Algebraic Convolutional Filters with Integral Operators.
CoRR
Alejandro Parada-Mayorga, Alejandro Ribeiro, Juan Andrés Bazerque
2025 J jnl
Convolutional Filtering With RKHS Algebras.
IEEE Trans. Signal Process.
Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque
2025 Misc conf
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images.
ICASSP
Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2025 J jnl
Sampling and Uniqueness Sets in Graphon Signal Processing.
IEEE Trans. Signal Process.
Alejandro Parada-Mayorga, Alejandro Ribeiro
2024 J jnl
Convolutional Filtering with RKHS Algebras.
CoRR
Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque
2024 J jnl
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images.
CoRR
Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2024 J jnl
Lie Group Algebra Convolutional Filters.
IEEE Trans. Signal Process.
Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro
2024 Misc conf
Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations.
ICASSP
Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2024 J jnl
Sampling and Uniqueness Sets in Graphon Signal Processing.
CoRR
Alejandro Parada-Mayorga, Alejandro Ribeiro
2023 Misc conf
Algebraic Convolutional Filters on Lie Group Algebras.
ICASSP
Harshat Kumar, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023 J jnl
Convolutional Filters and Neural Networks With Noncommutative Algebras.
IEEE Trans. Signal Process.
Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2023 J jnl
Convolutional Learning on Multigraphs.
IEEE Trans. Signal Process.
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023 J jnl
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs.
IEEE Trans. Signal Process.
Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro
2023 Misc conf
Learning with Multigraph Convolutional Filters.
ICASSP
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2023 J jnl
Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations.
CoRR
Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
2023 J jnl
Stability of Aggregation Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2022 J jnl
Convolutional Learning on Multigraphs.
CoRR
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2022 J jnl
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs.
CoRR
Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro
2022 J jnl
Learning with Multigraph Convolutional Filters.
CoRR
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
2022 J jnl
Stability of Aggregation Graph Neural Networks.
CoRR
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
2021 J jnl
Algebraic Neural Networks: Stability to Deformations.
IEEE Trans. Signal Process.
Alejandro Parada-Mayorga, Alejandro Ribeiro
2021 J jnl
Convolutional Filtering and Neural Networks with Non Commutative Algebras.
CoRR
Alejandro Parada-Mayorga, Alejandro Ribeiro
2021 Misc conf
Stability of Algebraic Neural Networks to Small Perturbations.
ICASSP
Alejandro Parada-Mayorga, Alejandro Ribeiro
2020 J jnl
Algebraic Neural Networks: Stability to Deformations.
CoRR
Alejandro Parada-Mayorga, Alejandro Ribeiro
2020 J jnl
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains.
IEEE Signal Process. Mag.
Daniel L. Lau, Gonzalo R. Arce, Alejandro Parada-Mayorga, Daniela Dapena, Karelia Pena-Pena
2020 — conf
Graphon Pooling in Graph Neural Networks.
EUSIPCO
Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020 J jnl
Graphon Pooling in Graph Neural Networks.
CoRR
Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020 J jnl
Quiver Signal Processing (QSP).
CoRR
Alejandro Parada-Mayorga, Hans Riess, Alejandro Ribeiro, Robert Ghrist
2020 J jnl
Stability of Algebraic Neural Networks to Small Perturbations.
CoRR
Alejandro Parada-Mayorga, Alejandro Ribeiro
2019 J jnl
Blue-Noise Sampling on Graphs.
IEEE Trans. Signal Inf. Process. over Networks
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce
2019 — conf
Optimal Sampling Sets in Cographs.
DSW
Dominique Guillot, Alejandro Parada-Mayorga, Sebastian M. Cioaba, Gonzalo R. Arce
2019 — conf
Sampling of Graph Signals with Blue Noise Dithering.
DSW
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce
2019 J jnl
Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers.
IEEE Trans. Computational Imaging
Edgar Salazar, Alejandro Parada-Mayorga, Gonzalo R. Arce
2017 — conf
Coded aperture design for compressive X-ray tomosynthesis via coherence analysis.
ISBI
Alejandro Parada-Mayorga, Angela P. Cuadros, Gonzalo R. Arce
2017 J jnl
Colored Coded Aperture Design in Compressive Spectral Imaging via Minimum Coherence.
IEEE Trans. Computational Imaging
Alejandro Parada-Mayorga, Gonzalo R. Arce
2016 J jnl
Spectral Super-Resolution in Colored Coded Aperture Spectral Imaging.
IEEE Trans. Computational Imaging
Alejandro Parada-Mayorga, Gonzalo R. Arce