Carles Casacuberta

According to our database, Carles Casacuberta authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Topological Data Analysis for Neural Networks

Rubén Balleste, Carles Casacuberta, Sergio Escalera

Springer Briefs in Computer Science, Springer, ISBN: 978-3-032-08282-4, 2026

2025

Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis.

Aina Ferrà Marcús, Robert Jankowski, Meritxell Vila Miñana, Carles Casacuberta, M. Ángeles Serrano

CoRR, September, 2025

MANTRA: The Manifold Triangulations Assemblage.

Rubén Ballester, Ernst Röell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Rubén Ballester, Xavier Arnal Clemente, Carles Casacuberta, Meysam Madadi, Ciprian A. Corneanu, Sergio Escalera

Neurocomputing, 2024

Attending to Topological Spaces: The Cellular Transformer.

Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij

CoRR, 2024

2023

Importance attribution in neural networks by means of persistence landscapes of time series.

Aina Ferrà, Carles Casacuberta, Oriol Pujol

Neural Comput. Appl., September, 2023

Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey.

Rubén Ballester, Carles Casacuberta, Sergio Escalera

CoRR, 2023

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

Aina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas, Carles Casacuberta, Ignasi Cos

CoRR, 2023

Decorrelating neurons using persistence.

Rubén Ballester, Carles Casacuberta, Sergio Escalera

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

2022

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

Rubén Ballester, Xavier Arnal Clemente, Carles Casacuberta, Meysam Madadi, Ciprian A. Corneanu, Sergio Escalera

CoRR, 2022

Reconstruction of univariate functions from directional persistence diagrams.

Aina Ferrà, Carles Casacuberta, Oriol Pujol

CoRR, 2022

Influence in Social Networks Through Visual Analysis of Image Memes.

Carles Onielfa, Carles Casacuberta, Sergio Escalera

Proceedings of the Artificial Intelligence Research and Development, 2022