Álvaro Ciudad

According to our database, Álvaro Ciudad authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning.

Manel Gil-Sorribes, Julia Vilalta Mor, Isaac Filella-Merce, Robert Soliva, Álvaro Ciudad, Victor Guallar, Alexis Molina

CoRR, January, 2026

2025

Sesame: Opening the door to protein pockets.

Raúl Miñán, Carles Perez-Lopez, Javier Iglesias, Álvaro Ciudad, Alexis Molina

CoRR, September, 2025

sHGCN: Simplified hyperbolic graph convolutional neural networks.

Pol Arévalo, Alexis Molina, Álvaro Ciudad

CoRR, June, 2025

2024

Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models.

Adrián Morales-Pastor, Raquel Vázquez-Reza, Milosz Wieczór, Clàudia Valverde, Manel Gil-Sorribes, Bertran Miquel-Oliver, Álvaro Ciudad, Alexis Molina

CoRR, 2024

Scoreformer: A Surrogate Model For Large-Scale Prediction of Docking Scores.

Álvaro Ciudad, Adrián Morales-Pastor, Laura Malo, Isaac Filella-Merce, Victor Guallar, Alexis Molina

CoRR, 2024

Are Protein Language Models Compute Optimal?

Yaiza Serrano, Álvaro Ciudad, Alexis Molina

CoRR, 2024

GeoDirDock: Guiding Docking Along Geodesic Paths.

Raúl Miñán, Javier Gallardo, Álvaro Ciudad, Alexis Molina

CoRR, 2024