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Scalable Unbalanced Optimal Transport using Generative Adversarial Networks

26 October 2018

Papers citing "Scalable Unbalanced Optimal Transport using Generative Adversarial Networks"

22 / 22 papers shown

Title
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 169 12 0 26 Aug 2024
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 85 74 0 28 Oct 2019
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data Amjad Almahairi Sai Rajeswar Alessandro Sordoni Philip Bachman Aaron Courville GAN 76 423 0 27 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 78 77 0 15 Feb 2018
MAGAN: Aligning Biological Manifolds Matthew Amodio Smita Krishnaswamy MedIm GAN 49 69 0 10 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 86 1,468 0 13 Jan 2018
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 93 140 0 15 Nov 2017
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 75 249 0 07 Nov 2017
Smooth and Sparse Optimal Transport Mathieu Blondel Vivien Seguy Antoine Rolet OT 68 175 0 17 Oct 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation Zili Yi Hao Zhang P. Tan Minglun Gong GAN VLM 141 1,946 0 08 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 129 5,553 0 30 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 163 1,537 0 16 Dec 2016
Dual Learning for Machine Translation Yingce Xia Di He Tao Qin Liwei Wang Nenghai Yu Tie-Yan Liu Wei-Ying Ma AI4CE 91 850 0 01 Nov 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 164 1,659 0 02 Jun 2016
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 83 469 0 27 May 2016
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 155 1,125 0 02 Jul 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 77 602 0 17 Jun 2015
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 264 10,438 0 06 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,294 0 04 Jun 2013