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

Observation 2fb137ad-a93b-4e05-a74e-395df897e650 · outbound

This paper cites Barycenters in the Wasserstein space.

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

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.564596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d85a54bb-4938-47d7-bb93-9b6e75a8f460 · outbound

This paper cites Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability.

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

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.556034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50f7faf8-a07a-4e91-82f9-55054bba48cb · outbound

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

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.547427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edbc646d-cad1-41ac-a84c-476e8c8f00f7 · outbound

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

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.538653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f7dd650-9e33-4260-a568-a3bb05372484 · outbound

This paper cites Wasserstein generative adversarial networks.

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

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.529920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23d79792-c220-4006-8135-77fc1e15b7e6 · outbound

This paper cites Linear optimal par- tial transport embedding.

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

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.521221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b12e8487-b385-44ad-8359-9f438f7f52c4 · outbound

This paper cites Introduction to linear optimization, volume 6.

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

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.513374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dedeb09a-26f8-4b3d-a374-00c9629a08c6 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.504435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 523f6fff-7a79-4a5b-bca2-ebccf5329e56 · outbound

This paper cites Statistics for experimenters , volume 664.

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

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.494581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b89396fb-f31c-462a-81e4-563fa45944a1 · outbound

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

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.485925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4b9b188-554e-4251-a0d8-40739dc7b1a2 · outbound

This paper cites Statistical Inference.

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

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.476753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0405790c-e759-4bf0-bd08-39e01dfa814c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:13.961616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12fcc06-c13b-4533-8e52-adafaed2ba56 · outbound

This paper cites Statistical optimal transport.

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

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:13.964405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0db825-228a-493f-9d19-97bb59b6f8a4 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.467734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 222788c7-403e-493b-b17c-d51fb1195645 · outbound

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

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.458666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89af1896-7639-4174-b994-e7261982e79c · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.450029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74d8d152-bfed-4450-9ddb-378d62c9c716 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.441418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed5802a5-d008-4c1c-9a5c-b49611321593 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.432712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5eff4fbb-b643-4060-87c4-ff55b1f4fc49 · outbound

This paper cites Fast computation of Wasserstein barycenters.

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

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.424453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1fc02121-67eb-43a7-ae04-ea421c03360f · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.417093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8516cc8a-2fc8-4229-8730-af9ac3c92e3d · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.409673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0a8339c-e1a4-453a-be2b-e72d40fbb07d · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.400758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d05f5a60-4378-4951-a62d-5fea1cea794b · outbound

This paper cites an unresolved cited work.

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

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:02:14.391986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42517191-730f-40ef-8bdf-10bcafe80feb · outbound

This paper cites Optimal transport for diffeomorphic registration.

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

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.383071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33ef383c-5617-4320-850e-56c304795b4a · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.374857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27baba1c-0ec0-424c-8186-2029badd6f63 · outbound

This paper cites Statistical methods for research workers.

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

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.366439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75768d54-53ee-4e77-b697-0cb9590ace90 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.357611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5d98409-f6ae-46f2-ae2f-e6357560f0d7 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.347669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d54a087d-f01b-4df0-918e-fb939d80409d · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.337885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6e72b39-e80d-46c3-b863-99522834d4c6 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.328308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8800b353-1296-40a4-a76f-05f1f65c5c67 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.320189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cabaa695-f921-4847-b8ab-2d6262c77c2b · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.312380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a40b4a67-0f45-4e5a-80ec-15a0ae184d68 · outbound

This paper cites MNIST handwritten digit database.

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

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:14.023327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f967f45-83b1-41c8-b603-69c20bf82f4b · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.299795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62fa467f-eded-4b80-8d0d-b3deabfe0d16 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.290927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ee5d8be-2f78-496d-8ab7-9576088fde10 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.282239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a1aec42-d2d8-4dee-9990-b27f2ed1a11a · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:14.034752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f629f01b-3d59-4729-97f4-6f2b08c6b745 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.268859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1479c1d-85b2-44f3-8326-20844de462b6 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:14.040232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945e433f-5197-47c8-81cf-799f23d0f995 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.260564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed2b5b3a-f827-4f34-9046-dbb299e69ed5 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.252003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b9f6845-3a19-4ee5-981c-44e80ad5fe34 · outbound

This paper cites Computational op- timal transport.

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

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.243571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b895e28-c6ec-4462-8b71-3f5fc446a0d6 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.226702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e50b28d-7bce-4468-9416-7637dc98eb25 · outbound

This paper cites Linearized optimal transport on manifolds.

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

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.218369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9f3c280-4005-4b1d-a34b-ee8eda31836d · outbound

This paper cites Srivastava and E.

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

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.209998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc5f31d3-4227-4208-8e76-bc67723e594b · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cec9fa4d-92bc-443b-a652-27a4a057e937 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3986cfcf-879d-454d-8d34-bb190d175ae9 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db2b9178-0faa-4312-894b-5495ad815a93 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 393903fb-cda0-4991-af35-5d4fca2db005 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T20:02:14.073163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0c2cbd-7610-434d-969e-ca0f896633b9 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.151849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a45bba08-b10b-4345-a72d-39539342071a · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.142793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50c7a9ac-17c4-41c0-96ec-a4e9ca61f2e1 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:02:14.133525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers