( en | de | ru )

 

Disambiguation of "Sanchez-Gonzalez, Alvaro"

Author of the publication

copydeleteadd this publication to your clipboard
Probabilistic weather forecasting with machine learning

, , , , , , , , , , , and . Nature, 637 (8044): 84--90 (Jan 1, 2025)
DOI: 10.1038/s41586-024-08252-9

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alvaro Sánchez Cabrera

Marta González Sánchez

Alberto González-Sanchez

David Sánchez Sánchez

Alvaro Rietmüller

 

Other publications of authors with the same name

GraphCast: Learning skillful medium-range global weather forecasting, , , , , , , , , and 8 other author(s). (2022)cite arxiv:2212.12794Comment: GraphCast code and trained weights are available at: https://github.com/deepmind/graphcast.Very Deep Graph Neural Networks Via Noise Regularisation., , , , , , , and . CoRR, (2021)Combining Q-Learning and Search with Amortized Value Estimates., , , , , , and . CoRR, (2019)ETA Prediction with Graph Neural Networks in Google Maps., , , , , , , , , and 7 other author(s). CIKM, page 3767-3776. ACM, (2021)Learning Mesh-Based Simulation with Graph Networks., , , and . ICLR, OpenReview.net, (2021)Discovering Symbolic Models from Deep Learning with Inductive Biases, , , , , , and . Advances in Neural Information Processing Systems, 33, page 17429--17442. Curran Associates, Inc., (2020)Relational inductive biases, deep learning, and graph networks, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Constraint-based graph network simulator., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18844-18870. PMLR, (2022)WeatherBench 2: A benchmark for the next generation of data-driven global weather models., , , , , , , , , and 8 other author(s). CoRR, (2023)Graph Networks as Learnable Physics Engines for Inference and Control., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4467-4476. PMLR, (2018)