2024
Predicting the generalization gap in neural networks using topological data analysis.
Neurocomputing, 2024

MANTRA: The Manifold Triangulations Assemblage.
CoRR, 2024

Attending to Topological Spaces: The Cellular Transformer.
CoRR, 2024

2023
Importance attribution in neural networks by means of persistence landscapes of time series.
Neural Comput. Appl., September, 2023

Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey.
CoRR, 2023

Decorrelating neurons using persistence.
CoRR, 2023

A topological classifier to characterize brain states: When shape matters more than variance.
CoRR, 2023

2022
Towards explaining the generalization gap in neural networks using topological data analysis.
CoRR, 2022

Reconstruction of univariate functions from directional persistence diagrams.
CoRR, 2022

Influence in Social Networks Through Visual Analysis of Image Memes.
Proceedings of the Artificial Intelligence Research and Development, 2022