International audienceThe Wasserstein distances W p (p ≥ 1), defined in terms of solution to the Monge-Kantorovich problem, are known to be a useful tool to investigate transport equations. In particular, the Benamou-Brenier formula characterizes the square of the Wasserstein distance W 2 as the infimum of the kinetic energy, or action functional, of all vector fields transporting one measure to the other. Another important property of the Wasserstein distances is the Kantorovich-Rubinstein duality, stating the equality between the distance W 1 (µ, ν) of two probability measures µ, ν and the supremum of the integrals in d(µ − ν) of Lipschitz continuous functions with Lipschitz constant bounded by one. An intrinsic limitation of Wasserstein ...
We discuss a new notion of distance on the space of finite and nonnegative measures which we call th...
Gromov-Wasserstein distances are generalization of Wasserstein distances, which are invariant under ...
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal ma...
International audienceThe Wasserstein distances W p (p ≥ 1), defined in terms of solution to the Mon...
International audienceThe Wasserstein distances W p (p ≥ 1), defined in terms of solution to the Mon...
In this article, we continue the investigation of the generalized Wasserstein distance W a,bp, that ...
The problem of optimal transportation between a set of sources and a set of wells has become recentl...
We introduce a new class of distances between nonnegative Radon measures on the euclidean space. The...
The paper introduces a new class of distances between nonnegative Radon measures in Rd. They are mod...
The paper introduces a new class of distances between nonnegative Radon measures in Rd. They are mod...
International audienceIn this paper, we are interested in the time derivative of the Wasserstein dis...
International audienceIn this paper, we are interested in the time derivative of the Wasserstein dis...
In this chapter, we provide a fairly general mathematical setting for the nonlinear transport equati...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We discuss a new notion of distance on the space of finite and nonnegative measures on $\Omega \subs...
We discuss a new notion of distance on the space of finite and nonnegative measures which we call th...
Gromov-Wasserstein distances are generalization of Wasserstein distances, which are invariant under ...
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal ma...
International audienceThe Wasserstein distances W p (p ≥ 1), defined in terms of solution to the Mon...
International audienceThe Wasserstein distances W p (p ≥ 1), defined in terms of solution to the Mon...
In this article, we continue the investigation of the generalized Wasserstein distance W a,bp, that ...
The problem of optimal transportation between a set of sources and a set of wells has become recentl...
We introduce a new class of distances between nonnegative Radon measures on the euclidean space. The...
The paper introduces a new class of distances between nonnegative Radon measures in Rd. They are mod...
The paper introduces a new class of distances between nonnegative Radon measures in Rd. They are mod...
International audienceIn this paper, we are interested in the time derivative of the Wasserstein dis...
International audienceIn this paper, we are interested in the time derivative of the Wasserstein dis...
In this chapter, we provide a fairly general mathematical setting for the nonlinear transport equati...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We discuss a new notion of distance on the space of finite and nonnegative measures on $\Omega \subs...
We discuss a new notion of distance on the space of finite and nonnegative measures which we call th...
Gromov-Wasserstein distances are generalization of Wasserstein distances, which are invariant under ...
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal ma...