| Identifying network structure similarity using spectral graph theory R Gera, L Alonso, B Crawford, J House, JA Mendez-Bermudez, T Knuth, ... Applied network science 3, 1-15, 2018 | 64 | 2018 |
| Weighted random-geometric and random-rectangular graphs: Spectral and eigenfunction properties of the adjacency matrix L Alonso, JA Mendez-Bermudez, A Gonzalez-Melendrez, Y Moreno Journal of Complex Networks 6 (5), 753-766, 2018 | 21 | 2018 |
| Geometrical and spectral study of -skeleton graphs L Alonso, JA Méndez-Bermúdez, E Estrada Physical Review E 100 (6), 062309, 2019 | 9 | 2019 |
| Deep learning for global wildfire forecasting I Prapas, A Ahuja, S Kondylatos, I Karasante, E Panagiotou, L Alonso, ... arXiv preprint arXiv:2211.00534, 2022 | 8 | 2022 |
| Joint probability distributions for projection probabilities of random orthonormal states L Alonso, T Gorin Journal of Physics A: Mathematical and Theoretical 49 (14), 145004, 2016 | 8 | 2016 |
| Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs C Robin, C Requena-Mesa, V Benson, L Alonso, J Poehls, N Carvalhais, ... arXiv preprint arXiv:2210.13648, 2022 | 6 | 2022 |
| Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction V Benson, C Requena-Mesa, C Robin, L Alonso, J Cortés, Z Gao, ... arXiv preprint arXiv:2303.16198, 2023 | 4 | 2023 |
| Julia Data Science J Storopoli, R Huijzer, L Alonso | 3 | 2021 |
| Perspectives for analyzing non-linear photo-ionization spectra with deep neural networks trained with synthetic Hamilton matrices SK Giri, L Alonso, U Saalmann, JM Rost Faraday Discussions 228, 502-518, 2021 | 2 | 2021 |
| Scattering approach to fidelity and fidelity recovery T Gorin, L Alonso, PC López Vázquez AIP Conference Proceedings 1579 (1), 11-20, 2014 | 2 | 2014 |
| SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics I Karasante, L Alonso, I Prapas, A Ahuja, N Carvalhais, I Papoutsis arXiv preprint arXiv:2312.07199, 2023 | 1 | 2023 |
| Eigenvalue determination for mixed quantum states using overlap statistics L Alonso, D Bermudez, T Gorin arXiv preprint arXiv:1808.00019, 2018 | 1 | 2018 |
| Analyzing Spatio-Temporal Machine Learning Models through Input Perturbation C Robin, V Benson, C Requena-Mesa, L Alonso, J Poehls, M Russwurm, ... EGU24, 2024 | | 2024 |
| Hybrid Modelling: Bridging Neural Networks and Physics-Based Approaches in Terrestrial Biogeochemical Ecosystems L Alonso, S Koirala, N Carvalhais, F Gans, B Ahrens, F Cremer, T Wutzler, ... EGU24, 2024 | | 2024 |
| Downscaling Soil Moisture to Sub-km Resolutions with Simple Machine Learning Ensembles J Poehls, L Alonso, S Koirala, N Carvalhais, M Reichstein Available at SSRN 4743411, 2024 | | 2024 |
| Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, L Alonso, ... Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710, 2024 | | 2024 |
| Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S Bao, L Alonso, S Wang, J Gensheimer, R De, N Carvalhais Journal of Advances in Modeling Earth Systems 15 (8), e2022MS003464, 2023 | | 2023 |
| Modeling landscape-scale vegetation response to climate: Synthesis of the EarthNet challenge V Benson, C Requena-Mesa, C Robin, L Alonso, N Carvalhais, ... EGU General Assembly Conference Abstracts, EGU-9337, 2023 | | 2023 |
| Modeling vegetation response to climate in Africa at fine resolution: EarthNet2023, a deep learning dataset and challenge. C Robin, C Requena-Mesa, V Benson, L Alonso, J Poehls, N Carvalhais, ... EGU General Assembly Conference Abstracts, EGU-9123, 2023 | | 2023 |
| Earth System Deep Learning towards a Global Digital Twin of Wildfires I Prapas, I Karasante, A Ahuja, S Kondylatos, E Panagiotou, C Davalas, ... EGU General Assembly Conference Abstracts, EGU-5443, 2023 | | 2023 |
J A Mendez-BermudezBenemerita Universidad Autonoma de PueblaVerified email at ifuap.buap.mx
