| Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44 J Baño-Medina, R Manzanas, E Cimadevilla, J Fernández, ... Geoscientific Model Development 15 (17), 6747-6758, 2022 | 30 | 2022 |
| Using explainability to inform statistical downscaling based on deep learning beyond standard validation approaches J González‐Abad, J Baño‐Medina, JM Gutiérrez Journal of Advances in Modeling Earth Systems 15 (11), e2023MS003641, 2023 | 8 | 2023 |
| A container-based workflow for distributed training of deep learning algorithms in HPC clusters J González-Abad, Á López García, VY Kozlov Cluster Computing 26 (5), 2815-2834, 2023 | 6 | 2023 |
| Multi-Variable Hard Physical Constraints for Climate Model Downscaling J González-Abad, Á Hernández-García, P Harder, D Rolnick, ... Proceedings of the AAAI Symposium Series 2 (1), 62-67, 2023 | 3 | 2023 |
| Testing interpretability techniques for deep statistical climate downscaling J González-Abad, J Bano-Medina, JM Gutiérrez ICLR 2022, Workshop on AI for Earth and Space Science, 2022 | 2 | 2022 |
| Enhancing Regional Climate Downscaling through Advances in Machine Learning N Rampal, S Hobeichi, PB Gibson, J Baño-Medina, G Abramowitz, ... Artificial Intelligence for the Earth Systems 3 (2), 230066, 2024 | | 2024 |
| Towards explainable and physically-based deep learning statistical downscaling methods J González-Abad Universidad de Cantabria, 2024 | | 2024 |
| Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions J González-Abad, J Baño-Medina ICLR 2023, Workshop on Tackling Climate Change with Machine Learning, 2023 | | 2023 |
| On the use of Deep Generative Models for “Perfect” Prognosis Climate Downscaling J González-Abad, J Baño-Medina, IH Cachá NeurIPS 2021, Tackling Climate Change with Machine Learning Workshop, 2021 | | 2021 |
