| 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 | 87 | 2023 |
| 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 | 86 | 2018 |
| 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 | 54 | 2020 |
| Em-like learning chaotic dynamics from noisy and partial observations D Nguyen, S Ouala, L Drumetz, R Fablet arXiv preprint arXiv:1903.10335, 2019 | 44 | 2019 |
| 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 | 41 | 2018 |
| Residual integration neural network S Ouala, A Pascual, R Fablet ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 17 | 2019 |
| 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 | 16 | 2020 |
| 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 | 14 | 2020 |
| 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 | 13 | 2018 |
| 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 | 11 | 2023 |
| 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 | 8 | 2020 |
| 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 | 6 | 2021 |
| Machine learning with data assimilation 65 and uncertainty quantification for dynamical systems: a review, arXiv S Cheng, C Quilodran-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ... | 4 | 2023 |
| 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 | 4 | 2019 |
| 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 | 3 | 2020 |
| 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 10, 211-221, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2021 |
| 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 | 1 | 2019 |
| AI for Extreme Event Modeling and Understanding: Methodologies and Challenges G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... arXiv preprint arXiv:2406.20080, 2024 | | 2024 |
fablet ronanProfessor, IMT Atlantique, Lab-STICC, Odyssey group (Inria, Ifremer, IMT Atl., CNRS, UBO, UR))在 imt-atlantique.fr 的电子邮件经过验证
