Cycle Consistent Probability Divergences Across Different Spaces

22 November 2021

Zhengxin Zhang

Youssef Mroueh

Ziv Goldfeld

Bharath K. Sriperumbudur

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Papers citing "Cycle Consistent Probability Divergences Across Different Spaces"

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Title
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 51 0 0 22 Oct 2024
Entropic Gromov-Wasserstein between Gaussian Distributions Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 55 18 0 24 Aug 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 62 70 0 09 Sep 2020
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 57 24 0 06 Nov 2019
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 42 200 0 28 Aug 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 59 33 0 26 May 2019
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation Rémi Flamary Karim Lounici A. Ferrari 45 24 0 24 May 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 49 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 57 195 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 52 112 0 14 May 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 54 328 0 31 Aug 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave Armand Joulin Quentin Berthet 53 199 0 29 May 2018
Unsupervised Correlation Analysis Yedid Hoshen Lior Wolf 31 8 0 01 Apr 2018
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 287 1,657 0 11 Oct 2017
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 189 421 0 01 Jul 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 125 5,554 0 30 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 89 1,979 0 15 Mar 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,966 0 15 Jul 2016
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 57 602 0 17 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
On the optimal estimation of probability measures in weak and strong topologies Bharath K. Sriperumbudur OT 128 66 0 30 Oct 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 215 685 0 25 Jul 2012