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Beauchamp, Maxime
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1

Relationship between Environmental Conditions and Utilisati..:

Prina, Eleonora ; Tedeschi, Federico ; Lasalvia, Antonio...
International Journal of Environmental Research and Public Health.  21 (2024)  6 - p. 661 , 2024
Link: https://doi.org/10.3390/..
 
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2

4DVarNet-SSH: end-to-end learning of variational interpolat..:

Beauchamp, Maxime ; Febvre, Quentin ; Georgenthum, Hugo.
Geoscientific Model Development.  16 (2023)  8 - p. 2119-2147 , 2023
Link: https://doi.org/10.5194/..
 
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3

Learning Neural Optimal Interpolation Models and Solvers:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,
Beauchamp, Maxime ; Febvre, Quentin ; Thompson, Joseph.. - p. 367-381 , 2023
Link: https://doi.org/10.1007/..
 
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4

Ensemble-based 4DVarNet uncertainty quantification for the ..:

Beauchamp, Maxime ; Febvre, Quentin ; Fablet, Ronan
Environmental Data Science.  2 (2023)  - p. , 2023
Link: https://doi.org/10.1017/..
 
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5

An iterative optimization scheme to accommodate inequality ..:

Beauchamp, Maxime ; Bessagnet, Bertrand
Heliyon.  9 (2023)  6 - p. e17413 , 2023
Link: https://doi.org/10.1016/..
 
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6

Ensemble-based 4DVarNet uncertainty quantification for the ..:

Beauchamp, Maxime ; Febvre, Quentin ; Fablet, Ronan
Environmental Data Science.  2 (2023)  - p. , 2023
Link: https://doi.org/10.1017/..
 
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7

Ensemble-based 4DVarNet uncertacinty quantification for the..:

Beauchamp, Maxime ; Febvre, Quentin ; Fablet, Ronan
info:eu-repo/semantics/altIdentifier/doi/10.1017/eds.2023.19.  , 2023
Link: https://imt-atlantique.h..
 
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8

An iterative optimization scheme to accommodate inequality ..:

Beauchamp, Maxime ; Bessagnet, Bertrand
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2023.e17413.  , 2023
Link: https://hal.science/hal-..
 
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9

Ensemble-based 4DVarNet uncertacinty quantification for the..:

Beauchamp, Maxime ; Febvre, Quentin ; Fablet, Ronan
info:eu-repo/semantics/altIdentifier/doi/10.1017/eds.2023.19.  , 2023
Link: https://imt-atlantique.h..
 
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10

4DVarNet-SSH: end-to-end learning of variational interpolat..:

Beauchamp, Maxime ; Febvre, Quentin ; Georgenthum, Hugo.
info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-16-1-2023.  , 2023
Link: https://hal.science/hal-..
 
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11

Neural SPDE solver for uncertainty quantification in high-d..:

Beauchamp, Maxime ; Fablet, Ronan ; Georgenthum, Hugo
info:eu-repo/semantics/altIdentifier/arxiv/2311.01783.  , 2023
Link: https://imt.hal.science/..
 
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12

Sparse SPDE priors for uncertainty quantification of neural..:

Beauchamp, Maxime ; Georgenthum, Hugo ; Fablet, Ronan
hal-04236738.  , 2023
Link: https://imt.hal.science/..
 
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13

Neural SPDE solver for uncertainty quantification in high-d..:

Beauchamp, Maxime ; Fablet, Ronan ; Georgenthum, Hugo
http://arxiv.org/abs/2311.01783.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

An iterative optimization scheme to accommodate inequality ..:

Maxime Beauchamp ; Bertrand Bessagnet
http://www.sciencedirect.com/science/article/pii/S2405844023046212.  , 2023
Link: https://doi.org/10.1016/..
 
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15

An iterative optimization scheme to accommodate inequality ..:

Beauchamp, Maxime ; Bessagnet, Bertrand
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2023.e17413.  , 2023
Link: https://hal.science/hal-..
 
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