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Georgenthum, Hugo
18  results:
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1

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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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

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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4

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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5

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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6

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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7

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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8

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

Beauchamp, Maxime ; Febvre, Quentin ; Georgenthum, Hugo.
doi:10.5194/gmd-16-2119-2023.  , 2023
Link: https://doi.org/10.5194/..
 
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9

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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10

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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11

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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12

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

Beauchamp, Maxime ; Febvre, Quentin ; Georgenthum, Hugo.
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603.  , 2023
Link: https://doi.org/10.5194/..
 
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13

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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14

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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15

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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