Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport | Paper Citation Record

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This paper cites Barycenters in the Wasserstein space.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Barycenters in the Wasserstein space

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Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability

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This paper cites Gradient flows: in metric spaces and in the space of probability measures.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gradient flows: in metric spaces and in the space of probability measures

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This paper cites Discrete Wasserstein barycenters: Optimal transport for discrete data, 2015.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Discrete Wasserstein barycenters: Optimal transport for discrete data, 2015

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Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Wasserstein generative adversarial networks

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This paper cites Linear optimal par- tial transport embedding.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Linear optimal par- tial transport embedding

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This paper cites Introduction to linear optimization, volume 6.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Introduction to linear optimization, volume 6

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This paper cites A survey of optimal transport for computer graphics and computer vision.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A survey of optimal transport for computer graphics and computer vision

Reference 8

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This paper cites Statistics for experimenters , volume 664.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistics for experimenters , volume 664

Reference 9

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This paper cites Super-resolution track-density imaging of thalamic substructures: Com- parison with high-resolution anatomical magnetic reso- nance imaging at 7.0 t.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Super-resolution track-density imaging of thalamic substructures: Com- parison with high-resolution anatomical magnetic reso- nance imaging at 7.0 t

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This paper cites Statistical Inference.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical Inference

Reference 11

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This paper cites Log-PCA versus Geodesic PCA of histograms in the Wasserstein space.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Log-PCA versus Geodesic PCA of histograms in the Wasserstein space

Reference 12

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This paper cites Statistical optimal transport.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical optimal transport

Reference 13

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This paper cites An interpolating distance between optimal transport and Fisher–Rao metrics.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport An interpolating distance between optimal transport and Fisher–Rao metrics

Reference 14

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This paper cites The Gromov– Wasserstein distance between networks and stable net- work invariants.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport The Gromov– Wasserstein distance between networks and stable net- work invariants

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This paper cites Gromov- Wasserstein averaging in a Riemannian framework.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov- Wasserstein averaging in a Riemannian framework

Reference 16

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This paper cites Generalized spectral clustering via Gromov-Wasserstein learning.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Generalized spectral clustering via Gromov-Wasserstein learning

Reference 17

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This paper cites Sinkhorn distances: Lightspeed compu- tation of optimal transport.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkhorn distances: Lightspeed compu- tation of optimal transport

Reference 18

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This paper cites Fast computation of Wasserstein barycenters.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fast computation of Wasserstein barycenters

Reference 19

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This paper cites A Wasserstein- type distance in the space of gaussian mixture mod- els.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A Wasserstein- type distance in the space of gaussian mixture mod- els

Reference 20

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This paper cites Track orientation density imaging (todi) and track ori- entation distribution (tod) based tractography.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Track orientation density imaging (todi) and track ori- entation distribution (tod) based tractography

Reference 21

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This paper cites Fr´ echet analysis of variance for random objects.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fr´ echet analysis of variance for random objects

Reference 22

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Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Unresolved cited work

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This paper cites Optimal transport for diffeomorphic registration.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for diffeomorphic registration

Reference 24

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This paper cites Fast and scalable optimal transport for brain tractograms.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fast and scalable optimal transport for brain tractograms

Reference 25

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This paper cites Statistical methods for research workers.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical methods for research workers

Reference 26

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This paper cites Optimal transport for domain adap- tation.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for domain adap- tation

Reference 27

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This paper cites Principal geodesic analysis for the study of nonlinear statistics of shape.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Principal geodesic analysis for the study of nonlinear statistics of shape

Reference 28

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This paper cites Learning generative models with sinkhorn divergences.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Learning generative models with sinkhorn divergences

Reference 29

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This paper cites Introduction to riemannian geometry and geometric statistics: from basic theory to implementation with geomstats.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Introduction to riemannian geometry and geometric statistics: from basic theory to implementation with geomstats

Reference 30

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This paper cites Gender dif- ferences in white matter microstructure.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gender dif- ferences in white matter microstructure

Reference 31

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This paper cites Lightgbm: A highly efficient gradient boosting deci- sion tree.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Lightgbm: A highly efficient gradient boosting deci- sion tree

Reference 32

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This paper cites MNIST handwritten digit database.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport MNIST handwritten digit database

Reference 33

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This paper cites Sinkhorn barycenters with free sup- port via frank-wolfe algorithm.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkhorn barycenters with free sup- port via frank-wolfe algorithm

Reference 34

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This paper cites Learn- ing word vectors for sentiment analysis.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Learn- ing word vectors for sentiment analysis

Reference 35

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This paper cites On the use of Gromov-Hausdorff Dis- tances for Shape Comparison.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport On the use of Gromov-Hausdorff Dis- tances for Shape Comparison

Reference 36

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This paper cites Gromov–Wasserstein distances and the metric approach to object matching.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov–Wasserstein distances and the metric approach to object matching

Reference 37

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This paper cites Geomstats: a python package for Riemannian geom- etry in machine learning.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Geomstats: a python package for Riemannian geom- etry in machine learning

Reference 38

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This paper cites Recent Advances in Optimal Transport for Machine Learning.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Recent Advances in Optimal Transport for Machine Learning

Reference 39

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This paper cites On a linear fused Gromov-Wasserstein distance for graph struc- tured data.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport On a linear fused Gromov-Wasserstein distance for graph struc- tured data

Reference 40

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This paper cites Color schemes to represent the orientation of anisotropic tissues from dif- fusion tensor data: application to white matter fiber tract mapping in the human brain.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Color schemes to represent the orientation of anisotropic tissues from dif- fusion tensor data: application to white matter fiber tract mapping in the human brain

Reference 41

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This paper cites Computational op- timal transport.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Computational op- timal transport

Reference 42

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Observation f6e9e58b-8f85-4a59-8112-ba013f00106a · outbound

This paper cites Gromov-Wasserstein averaging of kernel and distance matrices.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov-Wasserstein averaging of kernel and distance matrices

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.235521Z

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This paper cites Sinkformers: Transformers with doubly stochastic attention.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkformers: Transformers with doubly stochastic attention

Reference 44

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This paper cites Linearized optimal transport on manifolds.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Linearized optimal transport on manifolds

Reference 45

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This paper cites Srivastava and E.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Srivastava and E

Reference 46

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This paper cites Sex dimorphism in the white matter: fractional anisotropy and brain size.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sex dimorphism in the white matter: fractional anisotropy and brain size

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.201251Z

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This paper cites The human connectome project: a data acquisition perspective.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport The human connectome project: a data acquisition perspective

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.193341Z

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This paper cites Sex dif- ferences in white matter microstructure in the human brain predominantly reflect differences in sex hormone exposure.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sex dif- ferences in white matter microstructure in the human brain predominantly reflect differences in sex hormone exposure

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.184528Z

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This paper cites Fused Gromov- Wasserstein distance for structured objects: theoreti- cal foundations and mathematical properties, 2018.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fused Gromov- Wasserstein distance for structured objects: theoreti- cal foundations and mathematical properties, 2018

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.175004Z

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This paper cites Optimal transport for structured data with application on graphs, 2019.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for structured data with application on graphs, 2019

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.165897Z

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Observation cd271e60-eaae-4491-8b2b-65b50dfd2a66 · outbound

This paper cites Optimal transport: old and new , volume 338.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport: old and new , volume 338

Reference 52

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This paper cites A linear optimal trans- portation framework for quantifying and visualizing variations in sets of images.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A linear optimal trans- portation framework for quantifying and visualizing variations in sets of images

Reference 53

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This paper cites A Wasserstein-type distance for gaussian mixtures on vector bundles with applications to shape analysis.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A Wasserstein-type distance for gaussian mixtures on vector bundles with applications to shape analysis

Reference 54

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This paper cites Quantifying differences and similarities in whole-brain white matter architecture using local connectome fingerprints.

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Quantifying differences and similarities in whole-brain white matter architecture using local connectome fingerprints

Reference 55

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