Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1306.0895
Cited By
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
4 June 2013
Marco Cuturi
OT
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances"
50 / 94 papers shown
Title
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
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
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
Shuxian Ma
Zihao Dong
Runmin Cong
Sam Kwong
Xiuli Shao
36
0
0
23 May 2025
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
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
Ali Gholamzadeh
Noor Sajid
91
0
0
18 May 2025
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
De Cheng
Lingfeng He
N. Wang
Dingwen Zhang
X. Gao
96
0
0
27 Apr 2025
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
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
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
Tal Amir
Nadav Dym
79
3
0
03 Apr 2025
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
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
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
Yuxiao Chen
L. Meng
Wujian Peng
Zuxuan Wu
Yu-Gang Jiang
VLM
121
1
0
24 Mar 2025
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
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
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
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
Mingyang Sun
Pengxiang Ding
Weinan Zhang
Donglin Wang
OT
99
0
0
24 Feb 2025
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
David Valdivia
Marien Renaud
Elsa Cazelles
Cédric Févotte
OT
65
0
0
21 Feb 2025
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
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
91
0
0
17 Feb 2025
Improving Deep Regression with Tightness
Shihao Zhang
Yuguang Yan
Angela Yao
OOD
115
0
0
13 Feb 2025
Bandit Optimal Transport
Lorenzo Croissant
97
0
0
11 Feb 2025
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
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
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
105
2
0
28 Jan 2025
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
Nicolas Boizard
Kevin El Haddad
C´eline Hudelot
Pierre Colombo
104
15
0
28 Jan 2025
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
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
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
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
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
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
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
Doron Haviv
Aram-Alexandre Pooladian
Dana Peér
Brandon Amos
OOD
55
1
0
01 Nov 2024
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
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
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
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
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
83
2
0
28 Oct 2024
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
Tian Gao
Amit Dhurandhar
Karthikeyan N. Ramamurthy
Dennis L. Wei
62
0
0
21 Oct 2024
1
2
Next