Search Results for author: Ananda Pascual

Found 3 papers, 1 papers with code

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

no code implementations11 Feb 2022 Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

The complexity of real-world geophysical systems is often compounded by the fact that the observed measurements depend on hidden variables.

Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification

no code implementations11 May 2021 Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet

Inevitably, a numerical simulation of a differential equation will then always be distinct from a true analytical solution.

Learning Latent Dynamics for Partially-Observed Chaotic Systems

1 code implementation4 Jul 2019 Said Ouala, Duong Nguyen, Lucas. Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet

This paper addresses the data-driven identification of latent dynamical representations of partially-observed systems, i. e., dynamical systems for which some components are never observed, with an emphasis on forecasting applications, including long-term asymptotic patterns.

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