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Ranking via Sinkhorn Propagation

9 June 2011

Papers citing "Ranking via Sinkhorn Propagation"

50 / 86 papers shown

Title
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 42 0 0 21 Apr 2025
Permutation Picture of Graph Combinatorial Optimization Problems Yimeng Min 29 0 0 22 Oct 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang Allan Zhou Zhili Feng Sadhika Malladi J. Zico Kolter 95 22 0 15 Oct 2024
Efficient Differentiable Discovery of Causal Order Mathieu Chevalley Arash Mehrjou Patrick Schwab 86 0 0 11 Oct 2024
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes Tianchang Shen Zheng Li Marc Law Matan Atzmon Sanja Fidler James Lucas Jun Gao Nicholas Sharp 3DH 86 4 0 30 Sep 2024
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture Xiaoyu Pan Bowen Zheng Xinwei Jiang Zijiao Zeng Qilong Kou He Wang Xiaogang Jin 29 1 0 18 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 86 0 0 07 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 62 17 0 18 Jul 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 92 1 0 12 Jun 2024
Multi-graph Graph Matching for Coronary Artery Semantic Labeling Chen Zhao Zhihui Xu Pukar Baral Michele L. Esposito Weihua Zhou 120 0 0 24 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 157 6 0 06 Feb 2024
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 45 0 0 28 Dec 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation H. Droge Zorah Lähner Yuval Bahat Onofre Martorell Felix Heide Michael Moller 70 3 0 25 Aug 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Peng Li Zhiyi Chen Xu Chu Kexin Rong 71 13 0 20 Aug 2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis Shenyuan Liang Maurício Pamplona Segundo Sathyanarayanan N. Aakur Sudeep Sarkar A. Srivastava 3DPC 80 2 0 14 Aug 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani Nick Pawlowski Joel Jennings Stefan Bauer Cheng Zhang Wenbo Gong CML BDL 91 19 0 26 Jul 2023
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction Ziqiao Meng Peilin Zhao Yang Yu Irwin King 68 7 0 05 Jun 2023
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search Shibal Ibrahim Wenyu Chen Hussein Hazimeh Natalia Ponomareva Zhe Zhao Rahul Mazumder MoE 397 3 0 05 Jun 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 83 3 0 26 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 136 14 0 08 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport Andrés Hoyos-Idrobo OffRL 80 0 0 29 Apr 2023
Compacting Binary Neural Networks by Sparse Kernel Selection Yikai Wang Wen-bing Huang Yinpeng Dong Gang Hua Anbang Yao MQ 85 5 0 25 Mar 2023
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not Aneeshan Sain A. Bhunia Pinaki Nath Chowdhury Subhadeep Koley Tao Xiang Yi-Zhe Song VLM 98 84 0 23 Mar 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport Mukul Bhutani J. Zico Kolter OT AI4TS 50 0 0 14 Mar 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 106 22 0 02 Feb 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 96 15 0 28 Jan 2023
Re-basin via implicit Sinkhorn differentiation F. Guerrero-Peña H. R. Medeiros Thomas Dubail Masih Aminbeidokhti Eric Granger M. Pedersoli MoMe 90 50 0 22 Dec 2022
Universe Points Representation Learning for Partial Multi-Graph Matching Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard 56 5 0 01 Dec 2022
Learning Universe Model for Partial Matching Networks over Multiple Graphs Zetian Jiang Jiaxin Lu Tianzhe Wang Junchi Yan 46 2 0 19 Oct 2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks Lorenzo Bonicelli Angelo Porrello Stefano Vincenzi C. Ippoliti F. Iapaolo A. Conte Simone Calderara 68 3 0 07 Sep 2022
The derivatives of Sinkhorn-Knopp converge Edouard Pauwels Samuel Vaiter 77 6 0 26 Jul 2022
Rethinking Initialization of the Sinkhorn Algorithm James Thornton Marco Cuturi OT 74 12 0 15 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 64 1 0 03 Jun 2022
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation Yuxing Chen Renshu Gu Ouhan Huang Gangyong Jia 3DH 85 11 0 25 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 87 24 0 13 May 2022
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison Po-Fang Hsu Chiching Wei 39 0 0 12 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 67 30 0 02 Apr 2022
Relational Surrogate Loss Learning Tao Huang Zekang Li Hua Lu Yong Shan Shusheng Yang Yang Feng Fei Wang Shan You Chang Xu 62 5 0 26 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 166 48 0 01 Feb 2022
Anticipation-Free Training for Simultaneous Machine Translation Chih-Chiang Chang Shun-Po Chuang Hung-yi Lee 64 7 0 30 Jan 2022
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 203 106 0 28 Jan 2022
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows E. Simou 23 0 0 18 Dec 2021
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling Shoaib Bin Masud Matthew Werenski James M. Murphy Shuchin Aeron OT 50 9 0 29 Oct 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Yifan Yang AI4CE 53 1 0 23 Oct 2021
SOMA: Solving Optical Marker-Based MoCap Automatically N. Ghorbani Michael J. Black 57 32 0 09 Oct 2021
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts W. Kool Chris J. Maddison A. Mnih 113 10 0 24 Sep 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment Xin Mao Wenting Wang Yuanbin Wu Man Lan 61 73 0 06 Sep 2021
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ? Zhoubo Xu Puqing Chen R. Raveaux Xin Yang Huadong Liu 54 3 0 01 Aug 2021
Deep Learning for Two-Sided Matching S. Ravindranath Zhe Feng Shira Li Jonathan Ma S. Kominers David C. Parkes 88 23 0 07 Jul 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 86 4 0 26 Jun 2021