Enhancing Image Classification in Small and Unbalanced Datasets Through Synthetic Data Augmentation. - Neil De La Fuente; Mireia Majó; Irina Luzko; Henry Córdova; Gloria Fernández-Esparrach; Jorge Bernal (CLIP@MICCAI, 2024)

A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C. - Neil De La Fuente; Daniel A. Vidal Guerra (CoRR, 2024)

Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics. - Neil De La Fuente; Miquel Noguer i Alonso; Guim Casadellà (CoRR, 2024)

GUIDEX: Guided Synthetic Data Generation for Zero-Shot Information Extraction. - Neil De La Fuente; Oscar Sainz; Iker García-Ferrero; Eneko Agirre (ACL (Findings), 2025)

Prototype Augmented Hypernetworks for Continual Learning. - Neil De La Fuente; Maria Pilligua; Daniel Vidal; Albin Soutiff; Cecilia Curreli; Daniel Cremers; Andrey Barsky (CoRR, 2025)

IN45023 Neural Network Design Patterns in Computer Vision Seminar Report, Summer 2025. - Radu-Andrei Bourceanu; Neil De La Fuente; Jan Grimm; Andrei Jardan; Andriy Manucharyan; Cornelius Weiss; Roman Pflugfelder (CoRR, 2025)