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Unbalanced optimal transport: Dynamic and Kantorovich formulations

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Chizat, Lénaïc, Peyré, Gabriel, Schmitzer, Bernhard, Vialard, François-Xavier·2018·Journal of Functional Analysis

Abstract

Abstract This article presents a new class of distances between arbitrary nonnegative Radon measures inspired by optimal transport. These distances are defined by two equivalent alternative formulations: (i) a dynamic formulation defining the distance as a geodesic distance over the space of measures (ii) a static “Kantorovich” formulation where the distance is the minimum of an optimization problem over pairs of couplings describing the transfer (transport, creation and destruction) of mass between two measures. Both formulations are convex optimization problems, and the ability to switch from one to the other depending on the targeted application is a crucial property of our models. Of particular interest is the Wasserstein–Fisher–Rao metric recently introduced independently by [7] , [15] . Defined initially through a dynamic formulation, it belongs to this class of metrics and hence automatically benefits from a static Kantorovich formulation.

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Metadata

Authors
Chizat, L., Peyré, G., Schmitzer, B., & Vialard, F.-X.
Venue
Journal of Functional Analysis
Publisher
Elsevier BV
Published
2018-06
Volume
274
Issue
11
Pages
3090-3123
ISSN
0022-1236 (ISSN-L)
OpenAlex
W2789285779
Cited by
263
References
0
FWCI
31.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Unbalanced optimal transport: Dynamic and Kantorovich formulations. https://app.cochat.ai/papers/10.1016/j.jfa.2018.03.008
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Chizat, L., Peyré, G., Schmitzer, B., & Vialard, F.-X. (2018). Unbalanced optimal transport: Dynamic and Kantorovich formulations. Journal of Functional Analysis. https://doi.org/10.1016/j.jfa.2018.03.008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.