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Georgenthum, Hugo
18
results:
Search for persons
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Online (18)
Mediatypes
Articles (Online) (1)
Bookchapter (Online) (1)
OpenAccess-fulltext (16)
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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/..
?
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/..
?
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..
?
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-..
?
5
Sparse SPDE priors for uncertainty quantification of neural..:
Beauchamp, Maxime
;
Georgenthum, Hugo
;
Fablet, Ronan
hal-04236738. , 2023
Link:
https://imt.hal.science/..
?
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/..
?
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/..
?
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/..
?
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-..
?
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/..
?
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-..
?
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/..
?
13
Sparse SPDE priors for uncertainty quantification of neural..:
Beauchamp, Maxime
;
Georgenthum, Hugo
;
Fablet, Ronan
hal-04236738. , 2023
Link:
https://imt.hal.science/..
?
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/..
?
15
Sparse SPDE priors for uncertainty quantification of neural..:
Beauchamp, Maxime
;
Georgenthum, Hugo
;
Fablet, Ronan
hal-04236738. , 2023
Link:
https://imt.hal.science/..
1-15