Said Ouala - RankMe

26 papers C 5Misc 4Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes. IEEE Trans. Pattern Anal. Mach. Intell. Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2025	J	`jnl`	Towards fully differentiable neural ocean model with Veros. CoRR Etienne Meunier, Said Ouala, Hugo Frezat, Julien Le Sommer, Ronan Fablet
2024	J	`jnl`	AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR 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
2024	Misc	`conf`	Neural Ordinary Differential Equations with Trainable Solvers. ICASSP Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2023	J	`jnl`	Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. Mach. Learn. Sci. Technol. Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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
2023	J	`jnl`	Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems. CoRR Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2022	J	`jnl`	Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning. CoRR Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
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	C	`conf`	End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data. IGARSS Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2021	J	`jnl`	Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. CoRR Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2020	Misc	`conf`	Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2020	C	`conf`	Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics. IGARSS Said Ouala, Ronan Fablet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2020	J	`jnl`	Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019	J	`jnl`	EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019	J	`jnl`	Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019	C	`conf`	Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019	Misc	`conf`	Learning Stochastic Representations of Geophysical Dynamics. ICASSP Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2019	Misc	`conf`	Residual Integration Neural Network. ICASSP Said Ouala, Ananda Pascual, Ronan Fablet
2019	C	`conf`	Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter. IGARSS Said Ouala, Ronan Fablet, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2018	—	`conf`	Bilinear Residual Neural Network for the Identification and Forecasting of Geophysical Dynamics. EUSIPCO Ronan Fablet, Said Ouala, Cédric Herzet
2018	J	`jnl`	Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature. Remote. Sens. Said Ouala, Ronan Fablet, Cédric Herzet, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier
2018	C	`conf`	Sea Surface Temperature Prediction and Reconstruction Using Patch-Level Neural Network Representations. IGARSS Said Ouala, Cédric Herzet, Ronan Fablet
2018	J	`jnl`	Sea surface temperature prediction and reconstruction using patch-level neural network representations. CoRR Said Ouala, Cédric Herzet, Ronan Fablet
2017	J	`jnl`	Bilinear residual Neural Network for the identification and forecasting of dynamical systems. CoRR Ronan Fablet, Said Ouala, Cédric Herzet