Alejandro Catalina

Orcid: 0000-0001-5324-7953

According to our database1, Alejandro Catalina authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Challenges and Opportunities in High Dimensional Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Machine Learning Nowcasting of PV Energy Using Satellite Data.
Neural Process. Lett., 2020

Robust, Accurate Stochastic Optimization for Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Flexible Kernel Selection in Multitask Support Vector Regression.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

Accelerated Block Coordinate Descent for Sparse Group Lasso.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
NWP Ensembles for Wind Energy Uncertainty Estimates.
Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017

Satellite Based Nowcasting of PV Energy over Peninsular Spain.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Machine Learning Prediction of Photovoltaic Energy from Satellite Sources.
Proceedings of the Data Analytics for Renewable Energy Integration, 2016


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