Sparse mean localization by information theory. - Emiliano Diaz (CoRR, 2017)

Online deforestation detection. - Emiliano Diaz (CoRR, 2017)

Consistent Regression of Biophysical Parameters with Kernel Methods. - Emiliano Diaz; Adrian Perez-Suay; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Interpretability of Recurrent Neural Networks in Remote Sensing. - Adrián Pérez-Suay; José E. Adsuara; María Piles; Laura Martínez-Ferrer; Emiliano Diaz; Álvaro Moreno-Martínez; Gustau Camps-Valls (IGARSS, 2020)

Discovering Causal Relations and Equations from Data. - Gustau Camps-Valls; Andreas Gerhardus; Urmi Ninad; Gherardo Varando; Georg Martius; Emili Balaguer-Ballester; Ricardo Vinuesa; Emiliano Diaz; Laure Zanna; Jakob Runge (CoRR, 2023)

Learning latent functions for causal discovery. - Emiliano Diaz; Gherardo Varando; Juan Emmanuel Johnson; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2023)

Recovering Latent Confounders from High-dimensional Proxy Variables. - Nathan Mankovich; Homer Durand; Emiliano Diaz; Gherardo Varando; Gustau Camps-Valls (CoRR, 2024)

Large Language Models for Constrained-Based Causal Discovery. - Kai-Hendrik Cohrs; Gherardo Varando; Emiliano Diaz; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 2024)

Pairwise causal discovery with support measure machines. - Gherardo Varando; Salvador Catsis; Emiliano Diaz; Gustau Camps-Valls (Appl. Soft Comput., 2024)

Large language models for causal hypothesis generation in science. - Kai-Hendrik Cohrs; Emiliano Diaz; Vasileios Sitokonstantinou; Gherardo Varando; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2025)