Influence in Social Networks Through Visual Analysis of Image Memes. - Carles Onielfa; Carles Casacuberta; Sergio Escalera (CCIA, 2022)

Reconstruction of univariate functions from directional persistence diagrams. - Aina Ferrà; Carles Casacuberta; Oriol Pujol (CoRR, 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)

Decorrelating neurons using persistence. - Rubén Ballester; Carles Casacuberta; Sergio Escalera (NeurReps, 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)

Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey. - Rubén Ballester; Carles Casacuberta; Sergio Escalera (CoRR, 2023)

Importance attribution in neural networks by means of persistence landscapes of time series. - Aina Ferrà; Carles Casacuberta; Oriol Pujol (Neural Comput. Appl., 2023)

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)

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 (ICLR, 2025)