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Supervised learning of sheared distributions using linearized optimal
  transport

Supervised learning of sheared distributions using linearized optimal transport

25 January 2022
Varun Khurana
Harish Kannan
A. Cloninger
Caroline Moosmüller
    OT
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Papers citing "Supervised learning of sheared distributions using linearized optimal transport"

11 / 11 papers shown
Title
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
55
2
0
28 Jan 2025
Point Cloud Classification via Deep Set Linearized Optimal Transport
Point Cloud Classification via Deep Set Linearized Optimal Transport
Scott Mahan
Caroline Moosmüller
A. Cloninger
3DPC
OT
17
1
0
02 Jan 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
29
7
0
05 Dec 2023
Manifold learning in Wasserstein space
Manifold learning in Wasserstein space
Keaton Hamm
Caroline Moosmüller
Bernhard Schmitzer
Matthew Thorpe
46
5
0
14 Nov 2023
Approximation properties of slice-matching operators
Approximation properties of slice-matching operators
Shiying Li
Caroline Moosmueller
19
2
0
16 Oct 2023
Measure transfer via stochastic slicing and matching
Measure transfer via stochastic slicing and matching
Shiying Li
Caroline Moosmueller
26
3
0
11 Jul 2023
Applications of No-Collision Transportation Maps in Manifold Learning
Applications of No-Collision Transportation Maps in Manifold Learning
Elisa Negrini
L. Nurbekyan
OT
24
4
0
01 Apr 2023
Statistical learning on measures: an application to persistence diagrams
Statistical learning on measures: an application to persistence diagrams
Olympio Hacquard
Gilles Blanchard
Clément Levrard
26
3
0
15 Mar 2023
Linearized Wasserstein dimensionality reduction with approximation
  guarantees
Linearized Wasserstein dimensionality reduction with approximation guarantees
A. Cloninger
Keaton Hamm
Varun Khurana
Caroline Moosmüller
17
12
0
14 Feb 2023
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Keaton Hamm
Nick Henscheid
Shujie Kang
16
17
0
13 Apr 2022
Two-sample Statistics Based on Anisotropic Kernels
Two-sample Statistics Based on Anisotropic Kernels
Xiuyuan Cheng
A. Cloninger
Ronald R. Coifman
22
18
0
14 Sep 2017
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