Carles Casacuberta

According to our database, Carles Casacuberta authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

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

MANTRA: The Manifold Triangulations Assemblage.

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

CoRR, 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

Decorrelating neurons using persistence.

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

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