Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet. Learning Neural Optimal Interpolation Models and Solvers. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV. Volume 14076 of Lecture Notes in Computer Science, pages 367-381, Springer, 2023. [doi]
@inproceedings{BeauchampFTGF23,
title = {Learning Neural Optimal Interpolation Models and Solvers},
author = {Maxime Beauchamp and Quentin Febvre and Joseph Thompson and Hugo Georgenthum and Ronan Fablet},
year = {2023},
doi = {10.1007/978-3-031-36027-5_28},
url = {https://doi.org/10.1007/978-3-031-36027-5_28},
researchr = {https://researchr.org/publication/BeauchampFTGF23},
cites = {0},
citedby = {0},
pages = {367-381},
booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV},
editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {14076},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-36027-5},
}