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
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
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