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Energy-Based Sliced Wasserstein Distance

Energy-Based Sliced Wasserstein Distance

26 April 2023
Khai Nguyen
Nhat Ho
ArXivPDFHTML

Papers citing "Energy-Based Sliced Wasserstein Distance"

17 / 17 papers shown
Title
Streaming Sliced Optimal Transport
Streaming Sliced Optimal Transport
Khai Nguyen
OT
45
0
0
11 May 2025
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
Junjie Chen
Yuecong Xu
H. Li
Kemi Ding
3DPC
40
0
0
02 Apr 2025
Color Conditional Generation with Sliced Wasserstein Guidance
Color Conditional Generation with Sliced Wasserstein Guidance
Alexander Lobashev
Maria Larchenko
Dmitry Guskov
DiffM
43
0
0
24 Mar 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Christophe Vauthier
Quentin Mérigot
Anna Korba
37
0
0
10 Feb 2025
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Manh Luong
Khai Nguyen
Dinh Q. Phung
Gholamreza Haffari
Lizhen Qu
47
0
0
08 Feb 2025
Relative-Translation Invariant Wasserstein Distance
Relative-Translation Invariant Wasserstein Distance
Binshuai Wang
Qiwei Di
Ming Yin
Mengdi Wang
Quanquan Gu
Peng Wei
22
0
0
04 Sep 2024
Efficient Prior Calibration From Indirect Data
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
M. Girolami
Andrew M. Stuart
A. Vadeboncoeur
36
1
0
28 May 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for
  Heterogeneous Joint Distributions
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
Khai Nguyen
Nhat Ho
34
3
0
23 Apr 2024
Integrating Efficient Optimal Transport and Functional Maps For
  Unsupervised Shape Correspondence Learning
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
Tung Le
Khai Nguyen
Shanlin Sun
Nhat Ho
Xiaohui Xie
OT
28
4
0
04 Mar 2024
Sharp bounds for max-sliced Wasserstein distances
Sharp bounds for max-sliced Wasserstein distances
M. Boedihardjo
26
7
0
01 Mar 2024
Sliced Wasserstein with Random-Path Projecting Directions
Sliced Wasserstein with Random-Path Projecting Directions
Khai Nguyen
Shujian Zhang
Tam Le
Nhat Ho
32
9
0
29 Jan 2024
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
30
4
0
20 Oct 2023
Posterior Sampling Based on Gradient Flows of the MMD with Negative
  Distance Kernel
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Paul Hagemann
J. Hertrich
Fabian Altekrüger
Robert Beinert
Jannis Chemseddine
Gabriele Steidl
16
24
0
04 Oct 2023
Quasi-Monte Carlo for 3D Sliced Wasserstein
Quasi-Monte Carlo for 3D Sliced Wasserstein
Khai Nguyen
Nicola Bariletto
Nhat Ho
16
17
0
21 Sep 2023
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for
  Cortical Surface Reconstruction
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Tung Le
Khai Nguyen
Shanlin Sun
Kun Han
Nhat Ho
Xiaohui Xie
19
5
0
27 May 2023
Sliced Wasserstein Estimation with Control Variates
Sliced Wasserstein Estimation with Control Variates
Khai Nguyen
Nhat Ho
24
11
0
30 Apr 2023
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
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