ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1306.0895
  4. Cited By
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances

Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

4 June 2013
Marco Cuturi
    OT
ArXivPDFHTML

Papers citing "Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances"

50 / 94 papers shown
Title
Kernel Quantile Embeddings and Associated Probability Metrics
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk
Siu Lun Chau
F. Briol
Krikamol Muandet
35
0
0
26 May 2025
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Congren Dai
Huichi Zhou
Jiahao Huang
Zhenxuan Zhang
Fanwen Wang
Guang Yang
Fei Ye
76
0
0
23 May 2025
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching
Zhihua Liu
Lei Tong
Xilin He
Che Liu
Rossella Arcucci
Chen Jin
Huiyu Zhou
61
0
0
23 May 2025
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Shuxian Ma
Zihao Dong
Runmin Cong
Sam Kwong
Xiuli Shao
36
0
0
23 May 2025
Towards Identifiability of Interventional Stochastic Differential Equations
Towards Identifiability of Interventional Stochastic Differential Equations
Aaron Zweig
Zaikang Lin
Elham Azizi
David A. Knowles
33
1
0
21 May 2025
Advancing Sequential Numerical Prediction in Autoregressive Models
Advancing Sequential Numerical Prediction in Autoregressive Models
Xiang Fei
Jinghui Lu
Qi Sun
Hao Feng
Yanjie Wang
Wei Shi
An-Lan Wang
Jingqun Tang
Can Huang
AI4TS
82
3
0
19 May 2025
Model alignment using inter-modal bridges
Model alignment using inter-modal bridges
Ali Gholamzadeh
Noor Sajid
91
0
0
18 May 2025
OT-Talk: Animating 3D Talking Head with Optimal Transportation
OT-Talk: Animating 3D Talking Head with Optimal Transportation
Xinmu Wang
Xiang Gao
Xiyun Song
Heather Yu
Zongfang Lin
Liang Peng
Xianfeng Gu
49
0
0
03 May 2025
Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID
Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID
De Cheng
Lingfeng He
N. Wang
Dingwen Zhang
X. Gao
96
0
0
27 Apr 2025
SG-Reg: Generalizable and Efficient Scene Graph Registration
SG-Reg: Generalizable and Efficient Scene Graph Registration
Chuhao Liu
Zhijian Qiao
Jieqi Shi
Ke Wang
Peize Liu
Shaojie Shen
54
0
0
20 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Haoyang Li
Hanwen Du
You Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
57
0
0
19 Apr 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu
Lianghua He
Y. Wen
Longzhen Yang
Hongzhou Chen
MedIm
79
0
0
15 Apr 2025
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Tal Amir
Nadav Dym
79
3
0
03 Apr 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
Haoyang Li
Kemi Ding
3DPC
64
0
0
02 Apr 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan
Fangyuan Xie
Feiping Nie
Xuelong Li
80
0
0
26 Mar 2025
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
Zizhi Chen
Minghao Han
Xukun Zhang
Shuwei Ma
Tao Liu
Xing Wei
Li Zhang
87
0
0
25 Mar 2025
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Yuxiao Chen
L. Meng
Wujian Peng
Zuxuan Wu
Yu-Gang Jiang
VLM
121
1
0
24 Mar 2025
Spherical Tree-Sliced Wasserstein Distance
Spherical Tree-Sliced Wasserstein Distance
Hoang V. Tran
Thanh T. Chu
K. Nguyen
Trang Pham
Tam Le
Trung Quoc Nguyen
OT
68
3
0
14 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill
Josh Bone
A. Masoomi
Max Torop
Jennifer Dy
131
1
0
13 Mar 2025
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport
Viktor Nevelius Wernholm
Alfred Wärnsäter
Axel Ringh
OT
71
0
0
12 Mar 2025
DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank
Zhanjie Zhang
Quanwei Zhang
Guangyuan Li
Junsheng Luan
Mengyuan Yang
Yun Wang
Lei Zhao
DiffM
97
4
0
11 Mar 2025
A primer on optimal transport for causal inference with observational data
Florian F Gunsilius
OT
CML
87
0
0
10 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
Haiqi Zhang
Jing Qin
Zechao Li
OODD
88
0
0
09 Mar 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun
Pengxiang Ding
Weinan Zhang
Donglin Wang
OT
99
0
0
24 Feb 2025
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin
Zehao Xiao
Pan Zhou
Shujian Yu
Jiayi Shen
Jan-Jakob Sonke
E. Gavves
98
0
0
24 Feb 2025
Audio signal interpolation using optimal transportation of spectrograms
Audio signal interpolation using optimal transportation of spectrograms
David Valdivia
Marien Renaud
Elsa Cazelles
Cédric Févotte
OT
65
0
0
21 Feb 2025
Simplifying DINO via Coding Rate Regularization
Simplifying DINO via Coding Rate Regularization
Ziyang Wu
Jingyuan Zhang
Druv Pai
Xinze Wang
Chandan Singh
Jianwei Yang
Jianfeng Gao
Yi-An Ma
387
1
0
17 Feb 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
91
0
0
17 Feb 2025
Improving Deep Regression with Tightness
Improving Deep Regression with Tightness
Shihao Zhang
Yuguang Yan
Angela Yao
OOD
115
0
0
13 Feb 2025
Bandit Optimal Transport
Bandit Optimal Transport
Lorenzo Croissant
97
0
0
11 Feb 2025
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Learning Clustering-based Prototypes for Compositional Zero-shot Learning
Hongyu Qu
Jianan Wei
Xiangbo Shu
Wenguan Wang
VLM
94
1
0
10 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients
Learning with Differentially Private (Sliced) Wasserstein Gradients
David Rodríguez-Vítores
Clément Lalanne
Jean-Michel Loubes
FedML
65
0
0
03 Feb 2025
Improved learning theory for kernel distribution regression with two-stage sampling
Improved learning theory for kernel distribution regression with two-stage sampling
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
105
2
0
28 Jan 2025
Universal generalization guarantees for Wasserstein distributionally robust models
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le
Jérome Malick
OOD
81
2
0
28 Jan 2025
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Nicolas Boizard
Kevin El Haddad
C´eline Hudelot
Pierre Colombo
104
15
0
28 Jan 2025
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
87
0
0
24 Jan 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty
Vinayak Gupta
R. Raj
Srikanta J. Bedathur
A. De
AAML
389
0
0
17 Jan 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
Xiao Cui
Mo Zhu
Yulei Qin
Liang Xie
Wengang Zhou
Haoyang Li
128
6
0
19 Dec 2024
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen
Han Zhang
Avinash Ravichandran
Wenqi Shao
Alex Wong
Ping Luo
Ping Luo
3DPC
99
0
0
04 Dec 2024
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
Tong Jin
Feng Lu
Shuyu Hu
Chun Yuan
Yunpeng Liu
ViT
101
0
0
01 Dec 2024
GloCOM: A Short Text Neural Topic Model via Global Clustering Context
GloCOM: A Short Text Neural Topic Model via Global Clustering Context
Quang Nguyen
Tung Nguyen
Duc Anh Nguyen
Linh Ngo Van
Sang Dinh
Truong Nguyen
114
0
0
30 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
153
1
0
25 Nov 2024
Wasserstein Flow Matching: Generative modeling over families of distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
Dana Peér
Brandon Amos
OOD
55
1
0
01 Nov 2024
Soft Condorcet Optimization for Ranking of General Agents
Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot
Kate Larson
Michael Kaisers
Quentin Berthet
I. Gemp
Manfred Diaz
Roberto-Rafael Maura-Rivero
Yoram Bachrach
Anna Koop
Doina Precup
132
0
0
31 Oct 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Matthew Werenski
Brendan Mallery
Shuchin Aeron
James M. Murphy
51
0
0
31 Oct 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
89
1
0
30 Oct 2024
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni
Guofeng Zhang
Guanglin Li
Yijin Li
Xinyang Liu
Zhaoyang Huang
Hujun Bao
ViT
80
2
0
30 Oct 2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
83
2
0
28 Oct 2024
Linear Partial Gromov-Wasserstein Embedding
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai
Abihith Kothapalli
Hengrong Du
Rocio Diaz Martin
Soheil Kolouri
44
0
0
22 Oct 2024
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Tian Gao
Amit Dhurandhar
Karthikeyan N. Ramamurthy
Dennis L. Wei
62
0
0
21 Oct 2024
12
Next