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Fast Computation of Wasserstein Barycenters

16 October 2013

Papers citing "Fast Computation of Wasserstein Barycenters"

50 / 358 papers shown

Title
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 238 25 0 14 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 189 60 0 08 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 158 149 0 07 Jul 2020
Multimarginal Wasserstein Barycenter for Stain Normalization and AugmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Saad Nadeem T. Hollmann Allen Tannenbaum 70 23 0 25 Jun 2020
On Projection Robust Optimal Transport: Sample Complexity and Model MisspecificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Tianyi Lin Zeyu Zheng Elynn Y. Chen Marco Cuturi Michael I. Jordan OT 134 60 0 22 Jun 2020
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention Grégoire Mialon Dexiong Chen Alexandre d’Aspremont Julien Mairal OT 119 0 0 22 Jun 2020
Robust Unsupervised Learning of Temporal Dynamic Interactions Aritra Guha Rayleigh Lei Jiacheng Zhu X. Nguyen Ding Zhao 52 0 0 18 Jun 2020
Wasserstein Embedding for Graph LearningInternational Conference on Learning Representations (ICLR), 2025 Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 150 92 0 16 Jun 2020
Augmented Sliced Wasserstein DistancesInternational Conference on Learning Representations (ICLR), 2025 Xiongjie Chen Yongxin Yang Yunpeng Li 127 20 0 15 Jun 2020
$γ$ -ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator Masahiro Fujisawa Takeshi Teshima Issei Sato Masashi Sugiyama 190 0 0 13 Jun 2020
Projection Robust Wasserstein Distance and Riemannian OptimizationNeural Information Processing Systems (NeurIPS), 2025 Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Michael I. Jordan 262 72 0 12 Jun 2020
Equitable and Optimal Transport with Multiple Agents M. Scetbon Laurent Meunier Jamal Atif Marco Cuturi OT 65 2 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive FeaturesNeural Information Processing Systems (NeurIPS), 2025 M. Scetbon Marco Cuturi 161 27 0 12 Jun 2020
Stochastic Saddle-Point Optimization for Wasserstein Barycenters D. Tiapkin Alexander Gasnikov Pavel Dvurechensky 99 7 0 11 Jun 2020
The statistical effect of entropic regularization in optimal transportation E. del Barrio Jean-Michel Loubes OT 117 24 0 09 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 120 60 0 05 Jun 2020
Fuzzy c-Means Clustering for Persistence Diagrams Thomas Davies Jack Aspinall Bryan Wilder Long Tran-Thanh 266 4 0 04 Jun 2020
Debiased Sinkhorn barycenters H. Janati Marco Cuturi Alexandre Gramfort OT 97 59 0 03 Jun 2020
Feature Robust Optimal Transport for High-dimensional Data Mathis Petrovich Chao Liang Ryoma Sato Yanbin Liu Yifan Hao Linchao Zhu Yi Yang Ruslan Salakhutdinov M. Yamada OT OOD 129 7 0 25 May 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 126 3 0 24 May 2020
CPOT: Channel Pruning via Optimal Transport Yucong Shen Li Shen Haozhi Huang Xuan Wang Wei Liu OT 91 6 0 21 May 2020
The optimal transport paradigm enables data compression in data-driven robust control F. Fabiani Paul Goulart 60 0 0 19 May 2020
The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems Gennaro Auricchio Andrea Codegoni Stefano Gualandi Giuseppe Toscani Marco Veneroni 38 15 0 13 May 2020
New Metrics Between Rational Spectra and their Connection to Optimal Transport Fredrik Bagge Carlson M. Chitre 53 2 0 20 Apr 2020
More efficient approximation of smoothing splines via space-filling basis selection Cheng Meng Xinlian Zhang Jingyi Zhang Wenxuan Zhong Ping Ma 87 35 0 24 Mar 2020
A Balancing Weight Framework for Estimating the Causal Effect of General Treatments Guillaume Martinet CML 51 3 0 26 Feb 2020
Variational Wasserstein Barycenters for Geometric Clustering Liang Mi 109 3 0 24 Feb 2020
Stochastic Optimization for Regularized Wasserstein Estimators Marin Ballu Quentin Berthet Francis R. Bach 93 17 0 20 Feb 2020
Gaussian Mixture Reduction with Composite Transportation Divergence Qiong Zhang Archer Gong Zhang Jiahua Chen 117 5 0 19 Feb 2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances Gaëtan Hadjeres Frank Nielsen 38 0 0 19 Feb 2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings C. Ciliberto Lorenzo Rosasco Alessandro Rudi 202 54 0 13 Feb 2020
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm Tianyi Lin Nhat Ho Xi Chen Marco Cuturi Michael I. Jordan 372 53 0 12 Feb 2020
Missing Data Imputation using Optimal TransportInternational Conference on Machine Learning (ICML), 2024 Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 103 136 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimumInternational Conference on Machine Learning (ICML), 2024 Pierre Ablin Gabriel Peyré Thomas Moreau 138 42 0 10 Feb 2020
Robust $k$ -means Clustering for Distributions with Two Moments Yegor Klochkov Alexey Kroshnin Nikita Zhivotovskiy 112 23 0 06 Feb 2020
Optimal quantization of the mean measure and applications to statistical learning Frédéric Chazal Clément Levrard Martin Royer 208 5 0 04 Feb 2020
Unsupervised Multilingual Alignment using Wasserstein Barycenter Jiale Han Kshitij Jain B. Cheng Pascal Poupart Xu Wang 90 27 0 28 Jan 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 232 109 0 21 Jan 2020
Gradient descent algorithms for Bures-Wasserstein barycenters Sinho Chewi Tyler Maunu Philippe Rigollet Austin J. Stromme 156 91 0 06 Jan 2020
Deep Learning for Learning Graph Representations Wenwu Zhu Xin Eric Wang Peng Cui GNN AI4CE 65 23 0 02 Jan 2020
On clustering uncertain and structured data with Wasserstein barycenters and a geodesic criterion for the number of clusters G. Papayiannis G. Domazakis D. Drivaliaris S. Koukoulas A. Tsekrekos A. Yannacopoulos 87 5 0 26 Dec 2019
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing Dror Simon Aviad Aberdam 99 22 0 24 Dec 2019
Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models Christopher J. Anders Talmaj Marinc David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin AAML 116 20 0 22 Dec 2019
Temporal Wasserstein non-negative matrix factorization for non-rigid motion segmentation and spatiotemporal deconvolution E. Varol Amin Nejatbakhsh C. McGrory 51 1 0 07 Dec 2019
Coupling Matrix Manifolds and Their Applications in Optimal Transport Dai Shi Junbin Gao X. Hong S. Choy Zhiyong Wang OT 77 0 0 15 Nov 2019
Discovering Invariances in Healthcare Neural Networks M. T. Bahadori Layne Price OOD 108 0 0 08 Nov 2019
Ground Metric Learning on Graphs Matthieu Heitz Nicolas Bonneel D. Coeurjolly Marco Cuturi Gabriel Peyré OT 161 22 0 08 Nov 2019
Alleviating Label Switching with Optimal Transport Pierre Monteiller Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon Mikhail Yurochkin 69 6 0 05 Nov 2019
Wasserstein total variation filtering E. Varol Amin Nejatbakhsh 22 0 0 23 Oct 2019
Zero-Shot Recognition via Optimal Transport Wenlin Wang Hongteng Xu Guoyin Wang Wenqi Wang Lawrence Carin OT 89 2 0 20 Oct 2019