Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning

13 April 2022

Papers citing "Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning"

12 / 12 papers shown

Title
Joint Manifold Learning and Optimal Transport for Dynamic Imaging Sven Dummer Puru Vaish Christoph Brune MedIm 13 0 0 17 May 2025
Manifold learning in metric spaces Liane Xu Amit Singer 64 0 0 20 Mar 2025
Manifold learning in Wasserstein space Keaton Hamm Caroline Moosmüller Bernhard Schmitzer Matthew Thorpe 49 5 0 14 Nov 2023
On Wasserstein distances for affine transformations of random vectors Keaton Hamm Andrzej Korzeniowski 28 0 0 05 Oct 2023
Alignment of Density Maps in Wasserstein Distance A. Singer Ruiyi Yang 33 8 0 21 May 2023
Applications of No-Collision Transportation Maps in Manifold Learning Elisa Negrini L. Nurbekyan OT 24 4 0 01 Apr 2023
Linearized Wasserstein dimensionality reduction with approximation guarantees A. Cloninger Keaton Hamm Varun Khurana Caroline Moosmüller 25 12 0 14 Feb 2023
Geometric Sparse Coding in Wasserstein Space M. Mueller Shuchin Aeron James M. Murphy Abiy Tasissa 14 4 0 21 Oct 2022
Wasserstein Task Embedding for Measuring Task Similarities Xinran Liu Yikun Bai Yuzhe Lu Andrea Soltoggio Soheil Kolouri OT 20 22 0 24 Aug 2022
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis Shiying Li A. Rubaiyat Gustavo K. Rohde AI4TS 14 2 0 04 Jun 2022
Manifold learning with arbitrary norms Joe Kileel Amit Moscovich Nathan Zelesko A. Singer 50 25 0 28 Dec 2020
Nonlinear manifold representations for functional data Dong Chen Hans-Georg Müller 80 65 0 28 May 2012