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Ranking via Sinkhorn Propagation
v1v2 (latest)

Ranking via Sinkhorn Propagation

9 June 2011
Ryan P. Adams
R. Zemel
ArXiv (abs)PDFHTML

Papers citing "Ranking via Sinkhorn Propagation"

50 / 89 papers shown
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
Lancheng Zou
Shuo Yin
Zehua Pei
Tsung-Yi Ho
Farzan Farnia
Bei Yu
124
0
0
11 Oct 2025
Matching Shapes Under Different Topologies: A Topology-Adaptive Deformation Guided Approach
Matching Shapes Under Different Topologies: A Topology-Adaptive Deformation Guided Approach
Aymen Merrouche
Stefanie Wuhrer
Edmond Boyer
172
0
0
08 Sep 2025
SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
Daniel Laáh Ayuba
Jean-Yves Guillemaut
Belen Marti-Cardona
Oscar Mendez Maldonado
325
1
0
26 Jul 2025
ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images
ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images
Chen Zhao
Anjum Shaik
Joyce H. Keyak
Nancy E. Lane
Jeffrey D Deng
Kuan-Jui Su
Q. Sha
Hui Shen
H. Deng
Weihua Zhou
170
2
0
21 Apr 2025
Permutation Picture of Graph Combinatorial Optimization Problems
Permutation Picture of Graph Combinatorial Optimization Problems
Yimeng Min
192
0
0
22 Oct 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsInternational Conference on Learning Representations (ICLR), 2024
Yiding Jiang
Allan Zhou
Zhili Feng
Sadhika Malladi
J. Zico Kolter
306
41
0
15 Oct 2024
Efficient Differentiable Discovery of Causal Order
Efficient Differentiable Discovery of Causal Order
Mathieu Chevalley
Arash Mehrjou
Patrick Schwab
387
1
0
11 Oct 2024
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
SpaceMesh: A Continuous Representation for Learning Manifold Surface MeshesACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Tianchang Shen
Zheng Li
Marc Law
Matan Atzmon
Sanja Fidler
James Lucas
Jun Gao
Nicholas Sharp
3DH
330
13
0
30 Sep 2024
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion CaptureACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Xiaoyu Pan
Bowen Zheng
Xinwei Jiang
Zijiao Zeng
Qilong Kou
He Wang
Xiaogang Jin
267
4
0
18 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
FreeAugment: Data Augmentation Search Across All Degrees of FreedomEuropean Conference on Computer Vision (ECCV), 2024
Tom Bekor
Niv Nayman
Lihi Zelnik-Manor
ViT
260
4
0
07 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Yunbo Wang
Junchi Yan
236
27
0
18 Jul 2024
Differentiable Cost-Parameterized Monge Map Estimators
Differentiable Cost-Parameterized Monge Map Estimators
Samuel Howard
George Deligiannidis
Patrick Rebeschini
James Thornton
OT
326
1
0
12 Jun 2024
Multi-graph Graph Matching for Coronary Artery Semantic Labeling
Multi-graph Graph Matching for Coronary Artery Semantic Labeling
Chen Zhao
Zhihui Xu
Pukar Baral
Michele L. Esposito
Weihua Zhou
304
3
0
24 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search MethodsInternational Conference on Learning Representations (ICLR), 2024
Akira Ito
Masanori Yamada
Atsutoshi Kumagai
MoMe
814
11
0
06 Feb 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled
  Optimization
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
James Kotary
Jacob K Christopher
M. H. Dinh
Ferdinando Fioretto
191
0
0
28 Dec 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Kissing to Find a Match: Efficient Low-Rank Permutation RepresentationNeural Information Processing Systems (NeurIPS), 2023
H. Droge
Zorah Lähner
Yuval Bahat
Onofre Martorell
Felix Heide
Michael Moller
287
4
0
25 Aug 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning
  over Tabular Data
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
Peng Li
Zhiyi Chen
Xu Chu
Kexin Rong
188
26
0
20 Aug 2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical
  Shape Analysis
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape AnalysisIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Shenyuan Liang
Maurício Pamplona Segundo
Sathyanarayanan N. Aakur
Sudeep Sarkar
A. Srivastava
3DPC
350
2
0
14 Aug 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
BayesDAG: Gradient-Based Posterior Inference for Causal DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Yashas Annadani
Nick Pawlowski
Joel Jennings
Stefan Bauer
Cheng Zhang
Wenbo Gong
CMLBDL
393
36
0
26 Jul 2023
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
Doubly Stochastic Graph-based Non-autoregressive Reaction PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Ziqiao Meng
Peilin Zhao
Yang Yu
Irwin King
189
9
0
05 Jun 2023
COMET: Learning Cardinality Constrained Mixture of Experts with Trees
  and Local Search
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local SearchKnowledge Discovery and Data Mining (KDD), 2023
Shibal Ibrahim
Wenyu Chen
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
MoE
576
4
0
05 Jun 2023
Differentiable Random Partition Models
Differentiable Random Partition ModelsNeural Information Processing Systems (NeurIPS), 2023
Thomas M. Sutter
Alain Ryser
Joram Liebeskind
Julia E. Vogt
398
4
0
26 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
514
34
0
08 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport
Learning to Re-rank with Constrained Meta-Optimal TransportAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Andrés Hoyos-Idrobo
OffRL
337
1
0
29 Apr 2023
Compacting Binary Neural Networks by Sparse Kernel Selection
Compacting Binary Neural Networks by Sparse Kernel SelectionComputer Vision and Pattern Recognition (CVPR), 2023
Yikai Wang
Wen-bing Huang
Yinpeng Dong
Gang Hua
Anbang Yao
MQ
250
6
0
25 Mar 2023
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained
  or Not
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or NotComputer Vision and Pattern Recognition (CVPR), 2023
Aneeshan Sain
A. Bhunia
Pinaki Nath Chowdhury
Subhadeep Koley
Tao Xiang
Yi-Zhe Song
VLM
485
135
0
23 Mar 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems
  Using Optimal Transport
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
Mukul Bhutani
J. Zico Kolter
OTAI4TS
174
0
0
14 Mar 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis PerspectiveInternational Conference on Machine Learning (ICML), 2023
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
598
34
0
02 Feb 2023
Backpropagation of Unrolled Solvers with Folded Optimization
Backpropagation of Unrolled Solvers with Folded OptimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
James Kotary
M. H. Dinh
Ferdinando Fioretto
382
20
0
28 Jan 2023
Re-basin via implicit Sinkhorn differentiation
Re-basin via implicit Sinkhorn differentiationComputer Vision and Pattern Recognition (CVPR), 2022
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Masih Aminbeidokhti
Mohammadhadi Shateri
M. Pedersoli
MoMe
376
62
0
22 Dec 2022
Universe Points Representation Learning for Partial Multi-Graph Matching
Universe Points Representation Learning for Partial Multi-Graph MatchingAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhakshylyk Nurlanov
Frank R. Schmidt
Florian Bernard
299
6
0
01 Dec 2022
Learning Universe Model for Partial Matching Networks over Multiple
  Graphs
Learning Universe Model for Partial Matching Networks over Multiple Graphs
Zetian Jiang
Jiaxin Lu
Tianzhe Wang
Junchi Yan
277
3
0
19 Oct 2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile
  Virus Through Graph Neural Networks
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural NetworksIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Lorenzo Bonicelli
Angelo Porrello
Stefano Vincenzi
C. Ippoliti
F. Iapaolo
A. Conte
Simone Calderara
285
5
0
07 Sep 2022
The derivatives of Sinkhorn-Knopp converge
The derivatives of Sinkhorn-Knopp convergeSIAM Journal on Optimization (SIAM J. Optim.), 2022
Edouard Pauwels
Samuel Vaiter
388
9
0
26 Jul 2022
Rethinking Initialization of the Sinkhorn Algorithm
Rethinking Initialization of the Sinkhorn AlgorithmInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
James Thornton
Marco Cuturi
OT
271
14
0
15 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Patrick Emami
Pan He
Sanjay Ranka
Anand Rangarajan
OCL
282
1
0
03 Jun 2022
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose
  Estimation
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation
Yuxing Chen
Renshu Gu
Ouhan Huang
Gangyong Jia
3DH
257
13
0
25 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation
A Unified Framework for Implicit Sinkhorn DifferentiationComputer Vision and Pattern Recognition (CVPR), 2022
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Zorah Lähner
AI4CE
212
31
0
13 May 2022
Neural Graph Matching for Modification Similarity Applied to Electronic
  Document Comparison
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison
Po-Fang Hsu
Chiching Wei
211
0
0
12 Apr 2022
Optimizing generalized Gini indices for fairness in rankings
Optimizing generalized Gini indices for fairness in rankingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Virginie Do
Nicolas Usunier
323
35
0
02 Apr 2022
Relational Surrogate Loss Learning
Relational Surrogate Loss LearningInternational Conference on Learning Representations (ICLR), 2022
Tao Huang
Zekang Li
Hua Lu
Yong Shan
Shusheng Yang
Yang Feng
Fei Wang
Shan You
Chang Xu
263
5
0
26 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
932
81
0
01 Feb 2022
Anticipation-Free Training for Simultaneous Machine Translation
Anticipation-Free Training for Simultaneous Machine TranslationInternational Workshop on Spoken Language Translation (IWSLT), 2022
Chih-Chiang Chang
Shun-Po Chuang
Hung-yi Lee
226
7
0
30 Jan 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Marco Cuturi
Laetitia Meng-Papaxanthos
Yingtao Tian
Charlotte Bunne
Geoff Davis
O. Teboul
OT
393
130
0
28 Jan 2022
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows
E. Simou
235
0
0
18 Dec 2021
Multivariate rank via entropic optimal transport: sample efficiency and
  generative modeling
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling
Shoaib Bin Masud
Matthew Werenski
James M. Murphy
Shuchin Aeron
OT
504
9
0
29 Oct 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by
  Gumbel Sinkhorn Network
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
Tianqi Shen
Hong Zhang
Qishu Wang
Jiaping Xiao
Yifan Yang
AI4CE
183
1
0
23 Oct 2021
SOMA: Solving Optical Marker-Based MoCap Automatically
SOMA: Solving Optical Marker-Based MoCap AutomaticallyIEEE International Conference on Computer Vision (ICCV), 2021
N. Ghorbani
Michael J. Black
279
47
0
09 Oct 2021
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of
  Experts
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts
W. Kool
Chris J. Maddison
A. Mnih
431
11
0
24 Sep 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity
  Alignment
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xin Mao
Wenting Wang
Man Lan
Man Lan
275
85
0
06 Sep 2021
12
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