Machine Learning Prediction of Photovoltaic Energy from Satellite Sources. - Alejandro Catalina; Alberto Torres-Barrán; José R. Dorronsoro (DARE@PKDD/ECML, 2016)

Satellite Based Nowcasting of PV Energy over Peninsular Spain. - Alejandro Catalina; Alberto Torres-Barrán; José R. Dorronsoro (IWANN (1), 2017)

NWP Ensembles for Wind Energy Uncertainty Estimates. - Alejandro Catalina; José R. Dorronsoro (DARE@PKDD/ECML, 2017)

Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. - Alejandro Catalina; Carlos M. Alaíz; José R. Dorronsoro (ESANN, 2018)

Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction. - Víctor de la Pompa; Alejandro Catalina; José R. Dorronsoro (IDEAL (2), 2018)

Accelerated Block Coordinate Descent for Sparse Group Lasso. - Alejandro Catalina; Carlos M. Alaíz; José R. Dorronsoro (IJCNN, 2018)

Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. - Alejandro Catalina; Carlos M. Alaíz; José R. Dorronsoro (DARE@PKDD/ECML, 2018)

Flexible Kernel Selection in Multitask Support Vector Regression. - Carlos Ruiz; Carlos M. Alaíz; Alejandro Catalina; José R. Dorronsoro (IJCNN, 2019)

Robust, Accurate Stochastic Optimization for Variational Inference. - Akash Kumar Dhaka; Alejandro Catalina; Michael Riis Andersen; Måns Magnusson; Jonathan H. Huggins; Aki Vehtari (NeurIPS, 2020)

Machine Learning Nowcasting of PV Energy Using Satellite Data. - Alejandro Catalina; Alberto Torres-Barrán; Carlos M. Alaíz; José R. Dorronsoro (Neural Process. Lett., 2020)

Challenges and Opportunities in High Dimensional Variational Inference. - Akash Kumar Dhaka; Alejandro Catalina; Manushi Welandawe; Michael Riis Andersen; Jonathan H. Huggins; Aki Vehtari (NeurIPS, 2021)

Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. - Alejandro Catalina; Paul-Christian Bürkner; Aki Vehtari (AISTATS, 2022)