Add to ORKGInternational audienceWe explain here how to use Wasserstein distance in order to perform images data assimilation
We present new algorithms to compute the mean of a set of N empirical probability measures under the...
International audienceOptimal Transport theory enables the definition of a distance across the set o...
We propose a new method to estimate Wasserstein distances and optimal transport plans between two pr...
Pour prédire l'évolution d'un système physique, nous avons besoin d'initialiser le modèle mathématiq...
Forecasting of a physical system is computed by the help of a mathematical model. This model needs t...
International audienceUsually data assimilation methods evaluate observation-model misfits using wei...
National audienceOn décrit ici comment on utilise la distance de Wasserstein issue du transport opti...
International audienceThis work combines a level-set approach and the optimal transport-based Wasser...
International audienceDomain Adaptation aims at benefiting from a labeled dataset drawn from a sourc...
International audienceData assimilation aims at determining as accurately as possible the state of a...
<p>Transportation-based metrics for comparing images have long been applied to analyze images, espec...
Optimal Transport and Wasserstein Distance are closely related terms that do not only have a long h...
The goal of this thesis is to propose a linear programming based numerical method to solve the data-...
An ensemble data assimilation method is proposed that is based on optimal control minimizing the cos...
International audienceData assimilation is an approach that combines observations and model output, ...
We present new algorithms to compute the mean of a set of N empirical probability measures under the...
International audienceOptimal Transport theory enables the definition of a distance across the set o...
We propose a new method to estimate Wasserstein distances and optimal transport plans between two pr...
Pour prédire l'évolution d'un système physique, nous avons besoin d'initialiser le modèle mathématiq...
Forecasting of a physical system is computed by the help of a mathematical model. This model needs t...
International audienceUsually data assimilation methods evaluate observation-model misfits using wei...
National audienceOn décrit ici comment on utilise la distance de Wasserstein issue du transport opti...
International audienceThis work combines a level-set approach and the optimal transport-based Wasser...
International audienceDomain Adaptation aims at benefiting from a labeled dataset drawn from a sourc...
International audienceData assimilation aims at determining as accurately as possible the state of a...
<p>Transportation-based metrics for comparing images have long been applied to analyze images, espec...
Optimal Transport and Wasserstein Distance are closely related terms that do not only have a long h...
The goal of this thesis is to propose a linear programming based numerical method to solve the data-...
An ensemble data assimilation method is proposed that is based on optimal control minimizing the cos...
International audienceData assimilation is an approach that combines observations and model output, ...
We present new algorithms to compute the mean of a set of N empirical probability measures under the...
International audienceOptimal Transport theory enables the definition of a distance across the set o...
We propose a new method to estimate Wasserstein distances and optimal transport plans between two pr...