Said Ouala

According to our database, Said Ouala authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams

CoRR, 2024

Neural Ordinary Differential Equations with Trainable Solvers.

Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

Proceedings of the IEEE International Conference on Acoustics, 2024

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., June, 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

IEEE CAA J. Autom. Sinica, June, 2023

Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems.

Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

CoRR, 2023

2022

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

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

PhD thesis, 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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.

Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.

Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet

CoRR, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Residual Integration Neural Network.

Said Ouala, Ananda Pascual, Ronan Fablet

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Stochastic Representations of Geophysical Dynamics.

Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations.

Said Ouala, Cédric Herzet, Ronan Fablet

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics.

Ronan Fablet, Said Ouala, Cédric Herzet

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Bilinear residual Neural Network for the identification and forecasting of dynamical systems.

Ronan Fablet, Said Ouala, Cédric Herzet

CoRR, 2017