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Journal Articles
- 2021
[j3]Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau
:
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. 7: 655224 (2021)- 2020
- [j2]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. Remote. Sens. 12(22): 3806 (2020) - 2018
- [j1]Maxime Beauchamp, Laure Malherbe, Chantal de Fouquet, Laurent Létinois, Frédéric Tognet:
A polynomial approximation of the traffic contributions for kriging-based interpolation of urban air quality model. Environ. Model. Softw. 105: 132-152 (2018)
Conference and Workshop Papers
- 2023
- [c3]Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
Learning Neural Optimal Interpolation Models and Solvers. ICCS (4) 2023: 367-381 - 2021
- [c2]Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet:
End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. IGARSS 2021: 7418-7421 - 2020
- [c1]Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. CI 2020: 22-29
Informal and Other Publications
- 2024
- [i1]Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024)
Coauthor Index
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