Said Ouala | DeepAI

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Featured Co-authors

Yike Guo
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Steven L. Brunton
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Ronan Fablet
35 publications
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24 publications
Duong Nguyen
22 publications
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19 publications
Cédric Herzet
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Marc Bocquet
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Pierre Tandeo
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∙ 03/18/2023

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...

0 Sibo Cheng, et al. ∙

∙ 02/11/2022

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning

The complexity of real-world geophysical systems is often compounded by ...

9 Said Ouala, et al. ∙

∙ 05/11/2021

Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification

Deriving analytical solutions of ordinary differential equations is usua...

0 Said Ouala, et al. ∙

∙ 09/04/2020

Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations

The data-driven recovery of the unknown governing equations of dynamical...

44 Duong Nguyen, et al. ∙

∙ 07/04/2019

Learning Latent Dynamics for Partially-Observed Chaotic Systems

This paper addresses the data-driven identification of latent dynamical ...

0 Said Ouala, et al. ∙

∙ 03/25/2019

EM-like Learning Chaotic Dynamics from Noisy and Partial Observations

The identification of the governing equations of chaotic dynamical syste...

0 Duong Nguyen, et al. ∙

∙ 06/01/2018

Sea surface temperature prediction and reconstruction using patch-level neural network representations

The forecasting and reconstruction of ocean and atmosphere dynamics from...

0 Said Ouala, et al. ∙

∙ 12/19/2017

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

Due to the increasing availability of large-scale observation and simula...

0 Ronan Fablet, et al. ∙

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