People
Pablo Sánchez
Saarland Informatics Campus
Building E1 1, Room 2.22.1
E: sanchez@cs.uni-saarland.de
About me
I started my PhD in September 2019, supervised by Prof. Valera & Prof. Sonja Utz (from Leibniz-Institut für Wissensmedien). I am also part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) PhD program.
Broadly speaking, my research is focused on building machine learning methods for the analysis of real world data. I am specially focused on (social) network data, such as Twitter. Apart from handling real world data, I also want these model to give predictions that i) people can understand and ii) are are able to work under unexpected settings. Thus, interpretability and robustness are two research topics I am very interested about.
Publications
2023
Causal normalizing flows: from theory to practice Journal Article
In: CoRR, vol. abs/2306.05415, 2023.
Enhancing diversity in GANs via non-uniform sampling Journal Article
In: Inf. Sci., vol. 637, pp. 118928, 2023.
Learnable Graph Convolutional Attention Networks Proceedings Article
In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, OpenReview.net, 2023.
2022
VACA: Designing Variational Graph Autoencoders for Causal Queries Proceedings Article
In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 8159–8168, AAAI Press, 2022.
2019
Out-of-Sample Testing for GANs Journal Article
In: CoRR, vol. abs/1901.09557, 2019.
Improved BiGAN training with marginal likelihood equalization Journal Article
In: CoRR, vol. abs/1911.01425, 2019.