Search Results for author: Jérémie Dona

Found 3 papers, 1 papers with code

Constrained Physical-Statistics Models for Dynamical System Identification and Prediction

no code implementations ICLR 2022 Jérémie Dona, Marie Déchelle, Patrick Gallinari, Marina Levy

A common practice to identify the respective parameters of the physical and ML components is to formulate the problem as supervised learning on observed trajectories.

Differentiable Feature Selection, a Reparameterization Approach

no code implementations21 Jul 2021 Jérémie Dona, Patrick Gallinari

The second one corresponds to the elimination of redundant information by selecting variables in a correlated fashion which requires modeling the covariance of the binary distribution.

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting

2 code implementations ICLR 2021 Yuan Yin, Vincent Le Guen, Jérémie Dona, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari

In this work, we introduce the APHYNITY framework, a principled approach for augmenting incomplete physical dynamics described by differential equations with deep data-driven models.

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