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Found 6 papers, 2 papers with code
Efficient Solvers for Partial Gromov-Wasserstein
The partial Gromov-Wasserstein (PGW) problem facilitates the comparison of measures with unequal masses residing in potentially distinct metric spaces, thereby enabling unbalanced and partial matching across these spaces.
Stereographic Spherical Sliced Wasserstein Distances
Comparing spherical probability distributions is of great interest in various fields, including geology, medical domains, computer vision, and deep representation learning.
LCOT: Linear circular optimal transport
The optimal transport problem for measures supported on non-Euclidean spaces has recently gained ample interest in diverse applications involving representation learning.
Linear Optimal Partial Transport Embedding
To address these limitations, variants of the OT problem, including unbalanced OT, Optimal partial transport (OPT), and Hellinger Kantorovich (HK), have been proposed.
Signed Cumulative Distribution Transform for Parameter Estimation of 1-D Signals
The method builds upon signal estimation using the cumulative distribution transform (CDT) originally introduced for positive distributions.
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
This paper presents a new mathematical signal transform that is especially suitable for decoding information related to non-rigid signal displacements.
