Wasserstein-Fisher-Rao Splines
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Abstract (arXiv)
We study interpolating splines on the Wasserstein-Fisher-Rao (WFR) space of measures with differing total masses. To achieve this, we derive the covariant derivative and the curvature of an absolutely continuous curve in the WFR space. We prove that this geometric notion of curvature is equivalent to a Lagrangian notion of curvature in terms of particles on the cone. Finally, we propose a practical algorithm for computing splines extending the work of arXiv:2010.12101.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Mar 2022.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 1.
5 papers.
- 2023A Computational Framework for Solving Wasserstein Lagrangian Flowscited by 43
- 2025Trajectory Inference with Smooth Schr"odinger Bridgescited by 10
- 2024Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averagingcited by 9
- 2025Learning of Population Dynamics: Inverse Optimization Meets JKO Schemecited by 6
- 2026WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transportcited by 6
- 2026WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport11 Jan 2026
- 2025Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme2 Jun 2025
- 2025Trajectory Inference with Smooth Schr"odinger Bridges1 Mar 2025
- 2024Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging30 May 2024
- 2023A Computational Framework for Solving Wasserstein Lagrangian Flows16 Oct 2023