Pablo Sánchez

​Saarland Informatics Campus
Building E1 1, Room 2.22.1


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. 




Javaloy, Adrián; Sánchez-Mart'ın, Pablo; Valera, Isabel

Causal normalizing flows: from theory to practice Journal Article

In: CoRR, vol. abs/2306.05415, 2023.

Links | BibTeX

Reyes-Sanchez, Manuel; Amaducci, Rodrigo; Sánchez-Mart'ın, Pablo; Elices, Irene; Rodr'ıguez, Francisco Borja; Varona, Pablo

Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons Journal Article

In: Neural Networks, vol. 164, pp. 464–475, 2023.

Links | BibTeX

Sánchez-Mart'ın, Pablo; Olmos, Pablo M.; Pérez-Cruz, Fernando

Enhancing diversity in GANs via non-uniform sampling Journal Article

In: Inf. Sci., vol. 637, pp. 118928, 2023.

Links | BibTeX

Javaloy, Adrián; Sánchez-Mart'ın, Pablo; Levi, Amit; Valera, Isabel

Learnable Graph Convolutional Attention Networks Proceedings Article

In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023,, 2023.

Links | BibTeX


Sánchez-Martín, Pablo; Olmos, Pablo M.; Pérez-Cruz, Fernando

Out-of-Sample Testing for GANs Journal Article

In: CoRR, vol. abs/1901.09557, 2019.

Links | BibTeX

Sánchez-Martín, Pablo; Olmos, Pablo M.; Pérez-Cruz, Fernando

Improved BiGAN training with marginal likelihood equalization Journal Article

In: CoRR, vol. abs/1911.01425, 2019.

Links | BibTeX