Ouala, Said

1. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
   2023/03/18 by Sibo Cheng, Cesar Quilodran-Casas, Cheng, Sibo +31 · 14 citations
   Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Plant Water Relations and Carbon Dynamics
2. Sea surface temperature prediction and reconstruction using patch-level neural network representations
   2018/06/01 by Ouala, Said, Herzet, Cedric, Fablet, Ronan · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations
   2020/09/04 by Nguyen, Duong, Ouala, Said, Drumetz, Lucas +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
   2024/06/28 by Gustau Camps‐Valls, Miguel‐Ángel Fernández‐Torres, Camps-Valls, Gustau +47 · 2 citations
   Decision Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Scientific Computing and Data Management
5. Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
   2023/11/17 by Said Ouala, Bertrand Chapron, Ouala, Said +7 · 2 citations
   Physics and Astronomy · Engineering · Earth and Planetary Sciences · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Meteorological Phenomena and Simulations
6. Bilinear residual Neural Network for the identification and forecasting of dynamical systems
   2017/12/19 by Ronan Fablet, Said Ouala, Fablet, Ronan +3 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #Data Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Signal Processing (eess.SP) #Statistics and Probability (physics.data-an) #electronic engineering #information engineering