GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton-Proton Collisions. - Julián García Pardiñas; Marta Calvi; Jonas Eschle; Andrea Mauri 003; Simone Meloni; Martina Mozzanica; Nicola Serra (Comput. Softw. Big Sci., 2023)

Human-in-the-loop Reinforcement Learning for Data Quality Monitoring in Particle Physics Experiments. - Olivia Jullian Parra; Julián García Pardiñas; Lorenzo Del Pianta Pérez; Maximilian Janisch; Suzanne Klaver; Thomas Lehéricy; Nicola Serra (CoRR, 2024)

DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments. - Arsenii Gavrikov; Julián García Pardiñas; Alberto Garfagnini (CoRR, 2025)

Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. - Sascha Caron; Andreas Ipp; Gert Aarts; Gábor Bíró; Daniele Bonacorsi; Elena Cuoco; Caterina Doglioni; Tommaso Dorigo; Julián García Pardiñas; Stefano Giagu; Tobias Golling; Lukas Heinrich; et al. (CoRR, 2025)

Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks. - William Sutcliffe; Marta Calvi; Simone Capelli; Jonas Eschle; Julián García Pardiñas; Abhijit Mathad; Azusa Uzuki; Nicola Serra (CoRR, 2025)