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Said Ouala
Said Ouala
IMT Atlantique, OceanDataLab, STUOD
Verified email at imt-atlantique.fr
Title
Cited by
Cited by
Year
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
812018
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), 2020
502020
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
432023
Em-like learning chaotic dynamics from noisy and partial observations
D Nguyen, S Ouala, L Drumetz, R Fablet
arXiv preprint arXiv:1903.10335, 2019
412019
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
362018
Residual integration neural network
S Ouala, A Pascual, R Fablet
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
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
152020
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
132020
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
132018
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
S Ouala, SL Brunton, B Chapron, A Pascual, F Collard, L Gaultier, ...
Physica D: Nonlinear Phenomena 446, 133630, 2023
102023
CALYPSO 2019 Cruise Report: field campaign in the Mediterranean
A Mahadevan, EA D'Asaro, JT Allen, PA García, E Alou-Font, HM Aravind, ...
Woods Hole Oceanographic Institution, 2020
72020
Learning runge-kutta integration schemes for ode simulation and identification
S Ouala, L Debreu, A Pascual, B Chapron, F Collard, L Gaultier, R Fablet
arXiv preprint arXiv:2105.04999, 2021
52021
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
32019
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework
S Ouala, B Chapron, F Collard, L Gaultier, R Fablet
Machine Learning: Science and Technology 4 (2), 025018, 2023
22023
End-to-End Kalman Filter in a High Dimensional Linear Embedding of the Observations
S Ouala, P Tandeo, B Chapron, F Collard, R Fablet
Stochastic Transport in Upper Ocean Dynamics, 211, 2023
22023
Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics
S Ouala, R Fablet, L Drumetz, B Chapron, A Pascual, F Collard, L Gaultier
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
22020
End-to-end Kalman filter for the reconstruction of sea surface dynamics from satellite data
S Ouala, R Fablet, L Drumetz, B Chapron, A Pascual, F Collard, L Gaultier
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 7414 …, 2021
12021
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
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
S Ouala, B Chapron, F Collard, L Gaultier, R Fablet
arXiv preprint arXiv:2311.10665, 2023
2023
Analysis of marine heat waves using machine learning
S Ouala, B Chapron, F Collard, L Gaultier, R Fablet
EGU23, 2023
2023
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