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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...
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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 ...
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05/11/2021
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification
Deriving analytical solutions of ordinary differential equations is usua...
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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...
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07/04/2019
Learning Latent Dynamics for Partially-Observed Chaotic Systems
This paper addresses the data-driven identification of latent dynamical ...
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03/25/2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations
The identification of the governing equations of chaotic dynamical syste...
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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...
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12/19/2017