3 papers
stat.ML2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification
Pablo Sanchez-Martin, Kinaan Aamir Khan, Isabel Valera
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in solving graph classification tasks. However, most GNN architectures aggregate information from all nodes…
cs.SI2024
Exploring the Boundaries of Ambient Awareness in Twitter
Pablo Sanchez-Martin, Sonja Utz, Isabel Valera
Ambient awareness refers to the ability of social media users to obtain knowledge about who knows what (i.e., users' expertise) in their network, by simply being exposed to other u…
cs.LG2023
Causal normalizing flows: from theory to practice
Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
In this work, we deepen on the use of normalizing flows for causal reasoning. Specifically, we first leverage recent results on non-linear ICA to show that causal models are identi…