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Hierarchical Sliced Wasserstein Distance
v1v2v3v4v5 (latest)

Hierarchical Sliced Wasserstein Distance

27 September 2022
Khai Nguyen
Zhaolin Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Sliced Wasserstein Distance"

24 / 24 papers shown
Title
Self-Attention Amortized Distributional Projection Optimization for
  Sliced Wasserstein Point-Cloud Reconstruction
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Khai Nguyen
Dang Nguyen
N. Ho
65
9
0
12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Khai Nguyen
Zhaolin Ren
Nhat Ho
46
8
0
10 Jan 2023
Statistical, Robustness, and Computational Guarantees for Sliced
  Wasserstein Distances
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
68
39
0
17 Oct 2022
Spherical Sliced-Wasserstein
Spherical Sliced-Wasserstein
Clément Bonet
P. Berg
Nicolas Courty
Françcois Septier
Lucas Drumetz
Minh Pham
63
27
0
17 Jun 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen
Nhat Ho
52
25
0
04 Apr 2022
Fast Approximation of the Sliced-Wasserstein Distance Using
  Concentration of Random Projections
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi
Alain Durmus
Pierre E. Jacob
Roland Badeau
Umut Simsekli
49
38
0
29 Jun 2021
On Transportation of Mini-batches: A Hierarchical Approach
On Transportation of Mini-batches: A Hierarchical Approach
Khai Nguyen
Dang Nguyen
Quoc Nguyen
Tung Pham
Hung Bui
Dinh Q. Phung
Trung Le
Nhat Ho
OT
52
18
0
11 Feb 2021
Point-set Distances for Learning Representations of 3D Point Clouds
Point-set Distances for Learning Representations of 3D Point Clouds
Trung Nguyen
Quang Pham
Tam Le
Tung Pham
Nhat Ho
Binh-Son Hua
3DPC
68
72
0
08 Feb 2021
Sliced Iterative Normalizing Flows
Sliced Iterative Normalizing Flows
B. Dai
U. Seljak
45
37
0
01 Jul 2020
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
Kimia Nadjahi
Valentin De Bortoli
Alain Durmus
Roland Badeau
Umut Simsekli
53
26
0
28 Oct 2019
Asymptotic Guarantees for Learning Generative Models with the
  Sliced-Wasserstein Distance
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi
Alain Durmus
Umut Simsekli
Roland Badeau
MedIm
56
63
0
11 Jun 2019
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
52
100
0
24 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
110
417
0
17 May 2019
Max-Sliced Wasserstein Distance and its use for GANs
Max-Sliced Wasserstein Distance and its use for GANs
Ishani Deshpande
Yuan-Ting Hu
Ruoyu Sun
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Zhizhen Zhao
David A. Forsyth
Alex Schwing
GAN
46
201
0
11 Apr 2019
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
115
126
0
10 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
135
542
0
10 Mar 2019
Generalized Sliced Wasserstein Distances
Generalized Sliced Wasserstein Distances
Soheil Kolouri
Kimia Nadjahi
Umut Simsekli
Roland Badeau
Gustavo K. Rohde
50
300
0
01 Feb 2019
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
188
773
0
12 Nov 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised
  Domain Adaptation
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
B. Damodaran
B. Kellenberger
Rémi Flamary
D. Tuia
Nicolas Courty
OTOOD
80
466
0
27 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
222
2,148
0
01 Mar 2018
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
69
593
0
26 May 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OTOOD
88
564
0
24 May 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,277
0
04 Jun 2013
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