Adrián Arnaiz-Rodríguez

PhD Student

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Adrián Arnaiz Rodríguez is an ELLIS PhD student. He holds a Bachelor’s degree in Computer Engineering (2019, Universidad de Burgos) and a Master’s degree in Data Science and Artificial Intelligence (2021, Universitat Oberta de Catalunya). His PhD topics are AI Fairness and Graph Theory to enhance ethics, accountability, and transparency in algorithmic decision-making. His supervisors are Nuria Oliver (ELLIS Alicante), and Manuel Gómez Rodríguez (Max Planck Institute for Software Systems).

Website: https://adrian-arnaiz.netlify.app
Link to ORCID profile: ORCID iD icon https://orcid.org/0000-0001-5567-801X

Publications in association with ELLIS Alicante

2024

10/05
Schweighofer, K., Arnaiz-Rodríguez, A., Hochreiter, S., & Oliver, N. (2024). The Disparate Benefits of Deep Ensembles. arXiv:2410.13831.
03/06
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2024). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. WWW 2024 Workshop on Trustworthy Learnin on Graphs (TrustLOG).
03/06
Arnaiz-Rodríguez, A., & Oliver, N. (2024). Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values. ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR).

2023

05/05
Curto, G., Arnaiz-Rodríguez, A., & Oliver, N. (2023). Algorithms for Social Justice: Affirmative Action in Social Networks. arXiv:2305.03223.
03/03
Arnaiz-Rodríguez, A., Escolano, F., & Oliver, N. (2023). FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. arXiv:2303.01928.

2022

12/21
Arnaiz-Rodríguez, A., Begga, A., Escolano, F., & Oliver, N. (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. Proceedings of the First Learning on Graphs Conference, PMLR, 198, 15:1-15:27.
01/31
Olivares Gil, A., Arnaiz Rodríguez, A., Ramírez Sanz, J. M., Garrido Labrador, J. L., Ahedo García, V., García Osorio, C., Santos Martín, J. I., & Galán Ordax, J. M. (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering, 10(1), 65-76.