Pablo Sánchez-Martín

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Fully Connected

Theoretical Frameworks

Uniform Sampling

Causal Knowledge

Top Venues

Publications

Pablo Sánchez-Martín, Kinaan Aamir Khan, Isabel Valera
Improving the interpretability of GNN predictions through conformal-based graph sparsification. CoRR (2024)
Pablo Sánchez-Martín, Sonja Utz, Isabel Valera
Exploring the Boundaries of Ambient Awareness in Twitter. CoRR (2024)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. 637 (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
Causal normalizing flows: from theory to practice. NeurIPS (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
Learnable Graph Convolutional Attention Networks. ICLR (2023)
Manuel Reyes-Sanchez, Rodrigo Amaducci, Pablo Sánchez-Martín, Irene Elices, Francisco de Borja Rodríguez, Pablo Varona
Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons. Neural Networks 164 (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
Causal normalizing flows: from theory to practice. CoRR (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
Learnable Graph Convolutional Attention Networks. CoRR (2022)
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
VACA: Designing Variational Graph Autoencoders for Causal Queries. AAAI (2022)
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries. CoRR (2021)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Improved BiGAN training with marginal likelihood equalization. CoRR (2019)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Out-of-Sample Testing for GANs. CoRR (2019)