Pablo Sánchez Martín

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Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
Miriam RateikeSaarland UniversityVerified email at cs.uni-saarland.de
Pablo M. OlmosUniversity Carlos III de MadridVerified email at tsc.uc3m.es
Adrián JavaloyPhD student, University of SaarlandVerified email at uni-saarland.de
Fernando Perez-CruzChief Data Scientist Swiss Data Science Center and Professor T. at ETHZ--CSVerified email at sdsc.ethz.ch
Amit LeviUniversity of HaifaVerified email at ds.haifa.ac.il
Batuhan KoyuncuSaarland UniversityVerified email at uni-saarland.de
Ignacio PeisPostdoc, Technical University of Denmark (DTU)Verified email at dtu.dk
Tarek R. BesoldSony AI || Eindhoven University of TechnologyVerified email at sony.com
Priyadarshini KumariSony AI, IIT BombayVerified email at sony.com

Pablo Sánchez Martín

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Graph Neural Networks Interpretability Robustness Heterogeneous Data


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VACA: Designing variational graph autoencoders for causal queries P Sánchez-Martin, M Rateike, I Valera Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8159-8168, 2022	25*	2022
Learnable graph convolutional attention networks A Javaloy, P Sanchez-Martin, A Levi, I Valera arXiv preprint arXiv:2211.11853, 2022	10	2022
Causal normalizing flows: from theory to practice A Javaloy, P Sánchez-Martín, I Valera Advances in Neural Information Processing Systems 36, 2024	5	2024
Improved BiGAN training with marginal likelihood equalization P Sánchez-Martín, PM Olmos, F Perez-Cruz arXiv preprint arXiv:1911.01425, 2019	3	2019
Variational mixture of hypergenerators for learning distributions over functions B Koyuncu, P Sanchez-Martin, I Peis, PM Olmos, I Valera arXiv preprint arXiv:2302.06223, 2023	2	2023
Enhancing diversity in GANs via non-uniform sampling P Sánchez-Martín, PM Olmos, F Perez-Cruz Information Sciences 637, 118928, 2023	1	2023
Out-of-sample testing for gans P Sánchez-Martín, PM Olmos, F Pérez-Cruz arXiv preprint arXiv:1901.09557, 2019	1	2019
Unsupervised deep learning research and implementation of variational autoencoders P Sánchez Martín	1	2018
Improving the interpretability of GNN predictions through conformal-based graph sparsification P Sanchez-Martin, KA Khan, I Valera arXiv preprint arXiv:2404.12356, 2024		2024
Exploring the Boundaries of Ambient Awareness in Twitter P Sanchez-Martin, S Utz, I Valera arXiv preprint arXiv:2403.17776, 2024		2024
FRUNI and FTREE synthetic knowledge graphs for evaluating explainability PS Martin, T Besold, P Kumari XAI in Action: Past, Present, and Future Applications, 2023		2023
Prediction Tasks in Graphs: a Framework to Control the Interpretability-Performance Trade-off PS Martin, KA Khan, I Valera		2023
VARIATIONAL MIXTURE OF HYPERGENERATORS B Koyuncu, P Sánchez-Martín, I Peis, PM Olmos, I Valera arXiv preprint arXiv:2302.06223, 2023		2023

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