Ferran Hernandez Caralt

According to our database, Ferran Hernandez Caralt authored at least 3 papers between 2024 and 2026.

Collaborative distances:

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

2026

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification.

Brown Zaz, Mar Gonzàlez i Català, Ferran Hernandez Caralt, Moshe Eliasof, Pietro Liò

CoRR, May, 2026

On the Necessity of Learnable Sheaf Laplacians.

Ferran Hernandez Caralt, Mar Gonzàlez i Català, Adrián Bazaga, Pietro Liò

CoRR, March, 2026

2024

Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks.

Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024