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

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

19 December 2017

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

12 / 12 papers shown

Title
Hercules: Boosting the Performance of Privacy-preserving Federated Learning Guowen Xu Xingshuo Han Shengmin Xu Tianwei Zhang Hongwei Li Xinyi Huang R. Deng FedML 40 16 0 11 Jul 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 26 10 0 11 Feb 2022
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics Quentin Malartic A. Farchi Marc Bocquet 41 19 0 23 Jul 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 51 100 0 26 Apr 2021
Learning Variational Data Assimilation Models and Solvers Ronan Fablet Bertrand Chapron Lucas Drumetz É. Mémin O. Pannekoucke F. Rousseau 19 67 0 25 Jul 2020
Online learning of both state and dynamics using ensemble Kalman filters Marc Bocquet A. Farchi Quentin Malartic 22 27 0 06 Jun 2020
PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations O. Pannekoucke Ronan Fablet AI4CE PINN DiffM 24 8 0 03 Feb 2020
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization Marc Bocquet J. Brajard A. Carrassi Laurent Bertino 21 104 0 17 Jan 2020
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 21 29 0 25 Mar 2019
Representing ill-known parts of a numerical model using a machine learning approach J. Brajard A. Charantonis J. Sirven 27 3 0 18 Mar 2019
Learning Dynamical Systems from Partial Observations Ibrahim Ayed Emmanuel de Bézenac Arthur Pajot J. Brajard Patrick Gallinari AI4TS 30 91 0 26 Feb 2019
Sea surface temperature prediction and reconstruction using patch-level neural network representations Said Ouala Cédric Herzet Ronan Fablet AI4Cl 19 14 0 01 Jun 2018