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Variational Wasserstein Clustering
v1v2v3v4 (latest)

Variational Wasserstein Clustering

23 June 2018
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
    OT
ArXiv (abs)PDFHTML

Papers citing "Variational Wasserstein Clustering"

19 / 19 papers shown
On the Relation between Rectified Flows and Optimal Transport
On the Relation between Rectified Flows and Optimal Transport
Johannes Hertrich
Antonin Chambolle
Julie Delon
OT
447
7
0
26 May 2025
Analysis of Utterance Embeddings and Clustering Methods Related to
  Intent Induction for Task-Oriented Dialogue
Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue
Jeiyoon Park
Yoonna Jang
Chanhee Lee
Heu-Jeoung Lim
651
3
0
05 Dec 2022
Small Transformers Compute Universal Metric Embeddings
Small Transformers Compute Universal Metric EmbeddingsJournal of machine learning research (JMLR), 2022
Anastasis Kratsios
Valentin Debarnot
Ivan Dokmanić
423
14
0
14 Sep 2022
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Online Video Super-Resolution with Convolutional Kernel Bypass GraftIEEE transactions on multimedia (IEEE TMM), 2022
Jun Xiao
Xinyang Jiang
Ningxin Zheng
Hua Yang
Yifan Yang
Yuqing Yang
Dongsheng Li
Kin-Man Lam
SupR
279
35
0
04 Aug 2022
Persistent Homological State-Space Estimation of Functional Human Brain
  Networks at Rest
Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
ID MooK.Chung
Shih-Gu Huang
Ian C. Carroll
Vince D. Calhoun
ID HHillGoldsmith
682
4
0
01 Jan 2022
Fast Topological Clustering with Wasserstein Distance
Fast Topological Clustering with Wasserstein Distance
Tananun Songdechakraiwut
Bryan M. Krause
M. Banks
K. Nourski
B. V. Veen
521
9
0
30 Nov 2021
Clustering Market Regimes using the Wasserstein Distance
Clustering Market Regimes using the Wasserstein DistanceSocial Science Research Network (SSRN), 2021
Blanka Horvath
Zacharia Issa
Aitor Muguruza Gonzalez
OOD
309
12
0
22 Oct 2021
Estimation of Stationary Optimal Transport Plans
Estimation of Stationary Optimal Transport PlansInformation and Inference A Journal of the IMA (JIII), 2021
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
230
3
0
25 Jul 2021
Learning to Generate Wasserstein Barycenters
Learning to Generate Wasserstein BarycentersJournal of Mathematical Imaging and Vision (JMIV), 2021
Julien Lacombe
Julie Digne
Nicolas Courty
Nicolas Bonneel
149
12
0
24 Feb 2021
Automated Clustering of High-dimensional Data with a Feature Weighted
  Mean Shift Algorithm
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift AlgorithmAAAI Conference on Artificial Intelligence (AAAI), 2020
Saptarshi Chakraborty
Debolina Paul
Swagatam Das
372
22
0
20 Dec 2020
Matching Distributions via Optimal Transport for Semi-Supervised
  Learning
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Fariborz Taherkhani
Hadi Kazemi
Ali Dabouei
J. Dawson
Nasser M. Nasrabadi
OT
293
1
0
04 Dec 2020
Synchronizing Probability Measures on Rotations via Optimal Transport
Synchronizing Probability Measures on Rotations via Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2020
Tolga Birdal
Michael Arbel
Umut Simsekli
Leonidas Guibas
OT
254
32
0
01 Apr 2020
Variational Wasserstein Barycenters for Geometric Clustering
Variational Wasserstein Barycenters for Geometric Clustering
Liang Mi
288
3
0
24 Feb 2020
k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal
  Transport
k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport
Luca Ambrogioni
Umut Güçlü
Marcel van Gerven
GAN
111
4
0
09 Jul 2019
Deep Discriminative Clustering Analysis
Deep Discriminative Clustering Analysis
Jianlong Chang
Yiwen Guo
Lingfeng Wang
Gaofeng Meng
Shiming Xiang
Chunhong Pan
248
53
0
05 May 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
530
595
0
10 Mar 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
Gabriel Huang
Hugo Larochelle
Damien Scieur
SSLOOD
351
22
0
22 Feb 2019
Regularized Wasserstein Means for Aligning Distributional Data
Regularized Wasserstein Means for Aligning Distributional Data
Liang Mi
Wen Zhang
Yalin Wang
OOD
214
7
0
02 Dec 2018
Wasserstein variational gradient descent: From semi-discrete optimal
  transport to ensemble variational inference
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
Luca Ambrogioni
Rémi Flamary
R. Tavenard
OT
219
14
0
07 Nov 2018
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