| Paper | On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections | 2021 |
| Thesis | Development of Vegetation Maps from Satellite Images using Deep Learning Techniques | 2020 |
| Conference contribution | Deep Learning for Statistical Downscaling of Climate Change Projections over Europe | 2020 |
| Paper | Configuration and intercomparison of deep learning neural models for statistical downscaling | 2020 |
| Thesis | Evaluación del potencial de las redes neuronales profundas para la predicción de la temperatura superficial del agua del mar | 2019 |
| Conference contribution | Statistical downscaling with deep learning: A contribution to CORDEX-CORE | 2019 |
| Conference contribution | The importance of inductive bias in convolutional models for statistical downscaling | 2019 |
| Conference contribution | On the suitability of convolutional neural networks for climate downscaling | 2019 |
| Conference contribution | Deep Convolutional Networks for Feature Selection in Statistical Downscaling | 2018 |
| Conference contribution | Prospects and plans for statistical emulators based on deep learning methods | 2018 |
