Saved in:
| Main Authors: | Jin, Kun, Mémoli, Facundo, Smith, Zane, Wan, Zhengchao |
|---|---|
| Format: | Preprint |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1810.07793 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Z-Gromov-Wasserstein Distance
by: Bauer, Martin, et al.
Published: (2024)
by: Bauer, Martin, et al.
Published: (2024)
Embedding-Projection Correspondences for the estimation of the Gromov-Hausdorff distance
by: Mémoli, Facundo, et al.
Published: (2024)
by: Mémoli, Facundo, et al.
Published: (2024)
Grassmannian Persistence Diagrams: Special Properties in the 1-Parameter Setting
by: Gülen, Aziz Burak, et al.
Published: (2025)
by: Gülen, Aziz Burak, et al.
Published: (2025)
Grassmannian Persistence Diagrams
by: Gülen, Aziz Burak, et al.
Published: (2023)
by: Gülen, Aziz Burak, et al.
Published: (2023)
Geometry and Stability of Supervised Learning Problems
by: Mémoli, Facundo, et al.
Published: (2024)
by: Mémoli, Facundo, et al.
Published: (2024)
Comparison Results for Gromov-Wasserstein and Gromov-Monge Distances
by: Mémoli, Facundo, et al.
Published: (2022)
by: Mémoli, Facundo, et al.
Published: (2022)
Distances for Markov Chains, and Their Differentiation
by: Brugère, Tristan, et al.
Published: (2023)
by: Brugère, Tristan, et al.
Published: (2023)
Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers
by: Wan, Zhengchao, et al.
Published: (2024)
by: Wan, Zhengchao, et al.
Published: (2024)
The Numerical Stability of Hyperbolic Representation Learning
by: Mishne, Gal, et al.
Published: (2022)
by: Mishne, Gal, et al.
Published: (2022)
Two Calm Ends and the Wild Middle: A Geometric Picture of Memorization in Diffusion Models
by: Dodson, Nick, et al.
Published: (2026)
by: Dodson, Nick, et al.
Published: (2026)
Comparing Graph Transformers via Positional Encodings
by: Black, Mitchell, et al.
Published: (2024)
by: Black, Mitchell, et al.
Published: (2024)
On Wasserstein distances for affine transformations of random vectors
by: Hamm, Keaton, et al.
Published: (2023)
by: Hamm, Keaton, et al.
Published: (2023)
Classical Multidimensional Scaling on Metric Measure Spaces
by: Lim, Sunhyuk, et al.
Published: (2022)
by: Lim, Sunhyuk, et al.
Published: (2022)
The G-Gromov-Hausdorff Distance and Equivariant Topology
by: Lim, Sunhyuk, et al.
Published: (2025)
by: Lim, Sunhyuk, et al.
Published: (2025)
Persistence and Topological Complexity
by: Mémoli, Facundo, et al.
Published: (2025)
by: Mémoli, Facundo, et al.
Published: (2025)
Ephemeral persistence features and the stability of filtered chain complexes
by: Mémoli, Facundo, et al.
Published: (2022)
by: Mémoli, Facundo, et al.
Published: (2022)
Resistance Distance and Linearized Optimal Transport on Graphs
by: Robertson, Sawyer, et al.
Published: (2024)
by: Robertson, Sawyer, et al.
Published: (2024)
The Gromov-Wasserstein distance between spheres
by: Arya, Shreya, et al.
Published: (2023)
by: Arya, Shreya, et al.
Published: (2023)
The geomagnetic storm and Kp prediction using Wasserstein transformer
by: Li, Beibei
Published: (2025)
by: Li, Beibei
Published: (2025)
The Multiplex Classification Framework: optimizing multi-label classifiers through problem transformation, ontology engineering, and model ensembling
by: Offidani, Mauro Nievas, et al.
Published: (2024)
by: Offidani, Mauro Nievas, et al.
Published: (2024)
Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning
by: Xu, Ao, et al.
Published: (2026)
by: Xu, Ao, et al.
Published: (2026)
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds
by: Xu, Haoshu, et al.
Published: (2024)
by: Xu, Haoshu, et al.
Published: (2024)
On the regularization of Wasserstein GANs
by: Petzka, Henning, et al.
Published: (2017)
by: Petzka, Henning, et al.
Published: (2017)
Minimum-Norm Interpolation Under Covariate Shift
by: Mallinar, Neil, et al.
Published: (2024)
by: Mallinar, Neil, et al.
Published: (2024)
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
by: Bonet, Clément, et al.
Published: (2025)
by: Bonet, Clément, et al.
Published: (2025)
On optimal solutions of classical and sliced Wasserstein GANs with non-Gaussian data
by: Huang, Yu-Jui, et al.
Published: (2025)
by: Huang, Yu-Jui, et al.
Published: (2025)
Geometric Bounds for Persistence
by: Balitskiy, Alexey, et al.
Published: (2024)
by: Balitskiy, Alexey, et al.
Published: (2024)
Extremal spherical polytopes and Borsuk's conjecture
by: Katz, Mikhail, et al.
Published: (2023)
by: Katz, Mikhail, et al.
Published: (2023)
The Generalized Rank Invariant: Möbius invertibility, Discriminating Power, and Connection to Other Invariants
by: Clause, Nathaniel, et al.
Published: (2022)
by: Clause, Nathaniel, et al.
Published: (2022)
On sparsity, extremal structure, and monotonicity properties of Wasserstein and Gromov-Wasserstein optimal transport plans
by: Vayer, Titouan
Published: (2026)
by: Vayer, Titouan
Published: (2026)
Robust Graph-Based Semi-Supervised Learning via $p$-Conductances
by: Robertson, Sawyer Jack, et al.
Published: (2025)
by: Robertson, Sawyer Jack, et al.
Published: (2025)
Neural Local Wasserstein Regression
by: Girshfeld, Inga, et al.
Published: (2025)
by: Girshfeld, Inga, et al.
Published: (2025)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
Laplace Learning in Wasserstein Space
by: Oliver, Mary Chriselda Antony, et al.
Published: (2025)
by: Oliver, Mary Chriselda Antony, et al.
Published: (2025)
Gromov-Wasserstein Graph Coarsening
by: Taveras, Carlos A., et al.
Published: (2025)
by: Taveras, Carlos A., et al.
Published: (2025)
Differentially Private Wasserstein Barycenters
by: Gu, Anming, et al.
Published: (2025)
by: Gu, Anming, et al.
Published: (2025)
Wasserstein Proximal Policy Gradient
by: Zhu, Zhaoyu, et al.
Published: (2026)
by: Zhu, Zhaoyu, et al.
Published: (2026)
Partial Gromov-Wasserstein Metric
by: Bai, Yikun, et al.
Published: (2024)
by: Bai, Yikun, et al.
Published: (2024)
Similar Items
-
The Z-Gromov-Wasserstein Distance
by: Bauer, Martin, et al.
Published: (2024) -
Embedding-Projection Correspondences for the estimation of the Gromov-Hausdorff distance
by: Mémoli, Facundo, et al.
Published: (2024) -
Grassmannian Persistence Diagrams: Special Properties in the 1-Parameter Setting
by: Gülen, Aziz Burak, et al.
Published: (2025) -
Grassmannian Persistence Diagrams
by: Gülen, Aziz Burak, et al.
Published: (2023) -
Geometry and Stability of Supervised Learning Problems
by: Mémoli, Facundo, et al.
Published: (2024)