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ORCIDJulián García Pardiñas
2020 – today
- 2025
[i4]Arsenii Gavrikov, Julián García Pardiñas, Alberto Garfagnini:
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments. CoRR abs/2501.19237 (2025)- [i3]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, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger:
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. CoRR abs/2503.14192 (2025) - [i2]William Sutcliffe, Marta Calvi, Simone Capelli, Jonas Eschle, Julián García Pardiñas, Abhijit Mathad, Azusa Uzuki, Nicola Serra:
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks. CoRR abs/2504.21844 (2025) - 2024
- [i1]Olivia Jullian Parra, Julián García Pardiñas, Lorenzo Del Pianta Pérez, Maximilian Janisch, Suzanne Klaver, Thomas Lehéricy, Nicola Serra:
Human-in-the-loop Reinforcement Learning for Data Quality Monitoring in Particle Physics Experiments. CoRR abs/2405.15508 (2024) - 2023
- [j1]Julián García Pardiñas
, Marta Calvi, Jonas Eschle, Andrea Mauri, Simone Meloni, Martina Mozzanica, Nicola Serra:
GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton-Proton Collisions. Comput. Softw. Big Sci. 7(1): 12 (2023)
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