| Contribuciones a congresos | The importance of inductive bias in convolutional models for statistical downscaling | 2019 |
| Contribuciones a congresos | Statistical downscaling with deep learning: A contribution to CORDEX-CORE | 2019 |
| Artículo | Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment | 2019 |
| Contribuciones a congresos | On the suitability of convolutional neural networks for climate downscaling | 2019 |
| Artículo | The VALUE perfect predictor experiment: evaluation of temporal variability | 2019 |
| Artículo | Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE | 2019 |
| Contribuciones a congresos | Reproducible Statistical Downscaling with the climate4R R-Based Framework: The downscaleR package | 2019 |
| Artículo | Statistical Downscaling of Seasonal Wave Forecasts | 2019 |
| Artículo | Statistical downscaling with the downscaleR package (v3.1.0): Contribution to the VALUE intercomparison experiment | 2020 |
| Contribuciones a congresos | Deep Learning for Statistical Downscaling of Climate Change Projections over Europe | 2020 |
