Learning to Generate Wasserstein Barycenters

24 February 2021

Papers citing "Learning to Generate Wasserstein Barycenters"

36 / 36 papers shown

Title
Fast and Scalable Optimal Transport for Brain Tractograms Jean Feydy Pierre Roussillon A. Trouvé Pietro Gori OT 58 27 0 05 Jul 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 121 52 0 02 Feb 2021
Continuous Regularized Wasserstein Barycenters Lingxiao Li Aude Genevay Mikhail Yurochkin Justin Solomon 65 47 0 28 Aug 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 65 58 0 08 Jul 2020
Debiased Sinkhorn barycenters H. Janati Marco Cuturi Alexandre Gramfort OT 54 57 0 03 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 511 42,449 0 03 Dec 2019
Ground Metric Learning on Graphs Matthieu Heitz Nicolas Bonneel D. Coeurjolly Marco Cuturi Gabriel Peyré OT 46 21 0 08 Nov 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 39 44 0 14 Oct 2019
Learning Embeddings into Entropic Wasserstein Spaces Charlie Frogner F. Mirzazadeh Justin Solomon 37 31 0 08 May 2019
Wasserstein Barycenter Model Ensembling Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 60 25 0 13 Feb 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 58 527 0 18 Oct 2018
Variational Wasserstein Clustering Liang Mi Wen Zhang X. Gu Yalin Wang OT 84 43 0 23 Jun 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 86 122 0 21 Jun 2018
Bayesian Learning with Wasserstein Barycenters Julio D. Backhoff Veraguas J. Fontbona Gonzalo Rios Felipe A. Tobar 51 31 0 28 May 2018
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport Théo Lacombe Marco Cuturi S. Oudot 59 72 0 22 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 209 1,931 0 20 Apr 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 222 2,148 0 01 Mar 2018
Stochastic Wasserstein Barycenters Sebastian Claici Edward Chien Justin Solomon 56 71 0 15 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 160 9,432 0 09 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 125 3,156 0 29 Nov 2017
Learning Wasserstein Embeddings Nicolas Courty Rémi Flamary Mélanie Ducoffe 48 63 0 20 Oct 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning M. Schmitz Matthieu Heitz Nicolas Bonneel Fred-Maurice Ngole-Mboula D. Coeurjolly Marco Cuturi Gabriel Peyré Jean-Luc Starck OT 67 136 0 07 Aug 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 176 630 0 01 Jun 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja Ming-Hsuan Yang SupR 117 2,444 0 12 Apr 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 172 4,826 0 26 Jan 2017
Non-Local Color Image Denoising with Convolutional Neural Networks Stamatios Lefkimmiatis SupR 49 336 0 21 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 280 621 0 22 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 177 3,708 0 27 Jul 2016
Semantic Image Inpainting with Deep Generative Models Raymond A. Yeh Chen Chen Teck-Yian Lim Alex Schwing M. Hasegawa-Johnson Minh Do GAN VLM 83 1,176 0 26 Jul 2016
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric Vivien Seguy Marco Cuturi OT 45 73 0 26 Jun 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 62 602 0 17 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 100 741 0 16 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013