Bilinear residual Neural Network for the identification and forecasting of dynamical systems. - Ronan Fablet; Said Ouala; Cédric Herzet (CoRR, 2017)

Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. - Ronan Fablet; Said Ouala; Cédric Herzet (EUSIPCO, 2018)

Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. - Said Ouala; Cédric Herzet; Ronan Fablet (IGARSS, 2018)

Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. - Said Ouala; Ronan Fablet; Cédric Herzet; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (Remote. Sens., 2018)

Learning Stochastic Representations of Geophysical Dynamics. - Said Ouala; Ronan Fablet; Cédric Herzet; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (ICASSP, 2019)

Residual Integration Neural Network. - Said Ouala; Ananda Pascual; Ronan Fablet (ICASSP, 2019)

Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. - Said Ouala; Ronan Fablet; Cédric Herzet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2019)

Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. - Said Ouala; Duong Nguyen; Cédric Herzet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier; Ronan Fablet (IGARSS, 2019)

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (CoRR, 2019)

Learning Latent Dynamics for Partially-Observed Chaotic Systems. - Said Ouala; Duong Nguyen; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2019)

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (ICASSP, 2020)

Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. - Said Ouala; Ronan Fablet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2020)

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. - Duong Nguyen; Said Ouala; Lucas Drumetz; Ronan Fablet (CoRR, 2020)

End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. - Said Ouala; Ronan Fablet; Lucas Drumetz; Bertrand Chapron; Ananda Pascual; Fabrice Collard; Lucile Gaultier (IGARSS, 2021)

Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. - Said Ouala; Laurent Debreu; Ananda Pascual; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2021)

Data-driven and learning-based approaches for the modeling, forecasting and reconstruction of geophysical dynamics : application to sea surface dynamics. (Approches basées données et apprentissage pour la modélisation, la prévision et la reconstruction de dynamiques géophysiques : application à la dynamique océanique de surface). - Said Ouala (2021)

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. - Said Ouala; Steven L. Brunton; Ananda Pascual; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2022)

Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. - Said Ouala; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (CoRR, 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. - Said Ouala; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (Mach. Learn. Sci. Technol., 2023)

Neural Ordinary Differential Equations with Trainable Solvers. - Said Ouala; Laurent Debreu; Bertrand Chapron; Fabrice Collard; Lucile Gaultier; Ronan Fablet (ICASSP, 2024)

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. - Gustau Camps-Valls; Miguel-Ángel Fernández-Torres; Kai-Hendrik Cohrs; Adrian Höhl; Andrea Castelletti; Aytac Pacal; Claire Robin; Francesco Martinuzzi; Ioannis Papoutsis; Ioannis Prapas; Jorge Pérez-Aracil; Katja Weigel; et al. (CoRR, 2024)