Said Ouala
Said Ouala
Ph.D. Student, IMT-Atlantique
確認したメール アドレス: imt-atlantique.fr
タイトル
引用先
引用先
Bilinear residual neural network for the identification and forecasting of geophysical dynamics
R Fablet, S Ouala, C Herzet
2018 26th European Signal Processing Conference (EUSIPCO), 1477-1481, 2018
39*2018
Neural network based Kalman filters for the Spatio-temporal interpolation of satellite-derived sea surface temperature
S Ouala, R Fablet, C Herzet, B Chapron, A Pascual, F Collard, L Gaultier
Remote Sensing 10 (12), 1864, 2018
122018
Em-like learning chaotic dynamics from noisy and partial observations
D Nguyen, S Ouala, L Drumetz, R Fablet
arXiv preprint arXiv:1903.10335, 2019
112019
Learning latent dynamics for partially-observed chaotic systems
S Ouala, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, ...
arXiv preprint arXiv:1907.02452, 2019
72019
Residual integration neural network
S Ouala, A Pascual, R Fablet
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
52019
Assimilation-based Learning of Chaotic Dynamical Systems from Noisy and Partial Data
D Nguyen, S Ouala, L Drumetz, R Fablet
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Sea surface temperature prediction and reconstruction using patch-level neural network representations
S Ouala, C Herzet, R Fablet
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
32018
Learning latent dynamics for partially observed chaotic systems
S Ouala, D Nguyen, L Drumetz, B Chapron, A Pascual, F Collard, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (10), 103121, 2020
12020
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations
D Nguyen, S Ouala, L Drumetz, R Fablet
arXiv preprint arXiv:2009.02296, 2020
12020
Learning stochastic representations of geophysical dynamics
S Ouala, R Fablet, C Herzet, B Chapron, A Pascual, F Collard, L Gaultier
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
Learning Chaotic and Stochastic Dynamics from Noisy and Partial Observation using Variational Deep Learning
D Nguyen, S Ouala, L Drumetz, R Fablet
CI'2020: 10th International Conference on Climate Informatics, 2020
2020
Learning Lyapunov stable Dynamical Embeddings of Geophysical Dynamics
S Ouala, L Drumetz, B Chapron, A Pascual, F Collard, L Gaultier, R Fablet
EGU General Assembly Conference Abstracts, 20845, 2020
2020
Finescale horizontal and vertical currents from in-situ observations in preparation for SWOT altimeter mission
A Pascual, S Ruiz, B Barceló-Llull, A Sanchez-Roman, E Mason, E Cutolo, ...
Ocean Sciences Meeting 2020, 2020
2020
Sea surface dynamics reconstruction using neural networks based kalman filter
S Ouala, R Fablet, C Herzet, L Drumetz, B Chapron, A Pascual, F Collard, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
2019
Learning ocean dynamical priors from noisy data using assimilation-derived neural nets
S Ouala, D Nguyen, C Herzet, L Drumetz, B Chapron, A Pascual, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
2019
Data assimilation schemes as a framework for learning dynamical model from partial and noisy observations
S Ouala, R Fablet, D Nguyen, L Drumetz, B Chapron, A Pascual, ...
EGU 2019: General Assembly 2019 of the European Geosciences Union, 2019
2019
Learning Constrained Dynamical Embeddings for Geophysical Dynamics
S Ouala, D Nguyen, SL Brunton, L Drumetz, R Fablet
2019
Réseaux de neurones artificiels pour la prédiction et la reconstruction de dynamiques océanographiques
S Ouala, C Herzet, R Fablet
2018
Deep learning models for geophysical spatio-temporal fields reconstruction
S Ouala, C Herzet, R Fablet
2018
Neural network models for spatio-temporal geophysical fields reconstruction: application to sea surface temperature
S Ouala, R Fablet
EGUGA, 17913, 2018
2018
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