Unnormalized Optimal Transport
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Abstract (arXiv)
We propose an extension of the computational fluid mechanics approach to the Monge-Kantorovich mass transfer problem, which was developed by Benamou-Brenier. Our extension allows optimal transfer of unnormalized and unequal masses. We obtain a one-parameter family of simple modifications of the formulation in [4]. This leads us to a new Monge-Ampere type equation and a new Kantorovich duality formula. These can be solved efficiently by, for example, the Chambolle-Pock primal-dual algorithm. This solution to the extended mass transfer problem gives us a simple metric for computing the distance between two unnormalized densities. The L1 version of this metric was shown in [23] (which is a precursor of our work here) to have desirable properties.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Feb 2019.
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Citing papers per year: 2021: 5; 2022: 3; 2023: 2; 2024: 2; 2025: 2; 2026: 1.
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- 2024Learning stochastic dynamics from snapshots through regularized unbalanced optimal transportcited by 30
- 2022Sliced Optimal Partial Transportcited by 19
- 2021Entropy Partial Transport with Tree Metrics: Theory and Practicecited by 13
- 2021Learning High Dimensional Wasserstein Geodesicscited by 10
- 2023Scalable Unbalanced Sobolev Transport for Measures on a Graphcited by 10
- 2021The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classificationcited by 9
- 2025Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysiscited by 9
- 2024Robot Policy Learning with Temporal Optimal Transport Rewardcited by 8
- 2022A scalable deep learning approach for solving high-dimensional dynamic optimal transportcited by 5
- 2021A geometric perspective on functional outlier detectioncited by 2
- 2023PTLp: Partial Transport Lp Distancescited by 2
- 2021Accelerated nonlinear primal-dual hybrid gradient methods with applications to supervised machine learningcited by 0
- 2026Neural solver for Wasserstein Geodesics and optimal transport dynamics25 Feb 2026
- 2025Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis14 Mar 2025
- 2025An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph2 Feb 2025
- 2024Robot Policy Learning with Temporal Optimal Transport Reward29 Oct 2024
- 2024Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport1 Oct 2024
- 2023PTLp: Partial Transport Lp Distances25 Jul 2023
- 2023Scalable Unbalanced Sobolev Transport for Measures on a Graph24 Feb 2023
- 2022Sliced Optimal Partial Transport15 Dec 2022
- 2022Optimal Transport Features for Morphometric Population Analysis11 Aug 2022
- 2022A scalable deep learning approach for solving high-dimensional dynamic optimal transport16 May 2022
- 2021Accelerated nonlinear primal-dual hybrid gradient methods with applications to supervised machine learning24 Sep 2021
- 2021A geometric perspective on functional outlier detection14 Sep 2021
- 2024Learning stochastic dynamics from snapshots through regularized unbalanced optimal transportcited by 30
- 2022Sliced Optimal Partial Transportcited by 19
- 2021Entropy Partial Transport with Tree Metrics: Theory and Practicecited by 13
- 2021Learning High Dimensional Wasserstein Geodesicscited by 10
- 2023Scalable Unbalanced Sobolev Transport for Measures on a Graphcited by 10
- 2021The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classificationcited by 9
- 2025Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysiscited by 9
- 2024Robot Policy Learning with Temporal Optimal Transport Rewardcited by 8
- 2022A scalable deep learning approach for solving high-dimensional dynamic optimal transportcited by 5
- 2021A geometric perspective on functional outlier detectioncited by 2
- 2023PTLp: Partial Transport Lp Distancescited by 2
- 2021Accelerated nonlinear primal-dual hybrid gradient methods with applications to supervised machine learningcited by 0
12 most cited of 15 All 15 (JSON)
- 2026Neural solver for Wasserstein Geodesics and optimal transport dynamics25 Feb 2026
- 2025Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis14 Mar 2025
- 2025An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph2 Feb 2025
- 2024Robot Policy Learning with Temporal Optimal Transport Reward29 Oct 2024
- 2024Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport1 Oct 2024
- 2023PTLp: Partial Transport Lp Distances25 Jul 2023
- 2023Scalable Unbalanced Sobolev Transport for Measures on a Graph24 Feb 2023
- 2022Sliced Optimal Partial Transport15 Dec 2022
- 2022Optimal Transport Features for Morphometric Population Analysis11 Aug 2022
- 2022A scalable deep learning approach for solving high-dimensional dynamic optimal transport16 May 2022
- 2021Accelerated nonlinear primal-dual hybrid gradient methods with applications to supervised machine learning24 Sep 2021
- 2021A geometric perspective on functional outlier detection14 Sep 2021
12 newest of 15 All 15 (JSON)