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We introduce a novel neural network-based algorithm to compute optimal transport (OT) plans for general cost functionals.
Some minimax theorems
Frode Terkelsen · 1972
Earlier work this paper cites.
The (dantzig) simplex method for linear programming
John C Nash · 2000
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Optimal transport: old and new , volume 338
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MNIST handwritten digit database
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Earlier work this paper cites.
Positive definite metric spaces
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Equivalence of distance-based and rkhs-based statistics in hypothesis testing
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Regularized discrete optimal transport
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, and Jean-François Aujol · 2014
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Adam: A method for stochastic optimization
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Generalized conditional gradient: analysis of convergence and applications
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Optimal transport for applied mathematicians
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Optimal transport for domain adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia, and Alain Rakotomamonjy · 2016
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Stochastic optimization for large-scale optimal transport
Aude Genevay, Marco Cuturi, Gabriel Peyré, and Francis Bach · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Mapping estimation for discrete optimal transport
Michaël Perrot, Nicolas Courty, Rémi Flamary, and Amaury Habrard · 2016
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Energy distance
Maria L Rizzo and Gábor J Székely · 2016
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Input convex neural networks
Brandon Amos, Lei Xu, and J Zico Kolter · 2017
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Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
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Kantorovich duality for general transport costs and applications
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
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Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Luke Zappia, Belinda Phipson, and Alicia Oshlack · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Experiment tracking with weights and biases, 2020
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On a mixture of brenier and strassen theorems
Nathael Gozlan and Nicolas Juillet · 2020
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Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
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Learning transport cost from subset correspondence
Ruishan Liu, Akshay Balsubramani, and James Zou · 2020
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Optimal transport mapping via input convex neural networks
Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh, and Jason Lee · 2020
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Regularized optimal transport is ground cost adversarial
François-Pierre Paty and Marco Cuturi · 2020
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Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Quadratically regularized optimal transport on graphs
Montacer Essid and Justin Solomon · 2018
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An introduction to domain adaptation and transfer learning
Wouter M Kouw and Marco Loog · 2018
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On the regularization of wasserstein gans
Henning Petzka, Asja Fischer, and Denis Lukovnikov · 2018
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Inverse optimal transport
Andrew M Stuart and Marie-Therese Wolfram · 2020
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Dataset dynamics via gradient flows in probability space
David Alvarez-Melis and Nicolò Fusi · 2021
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Jkonet: Proximal optimal transport modeling of population dynamics, 2021
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Score-based generative neural networks for large-scale optimal transport
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Rates of estimation of optimal transport maps using plug-in estimators via barycentric projections
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Pot: Python optimal transport
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Minimax estimation of smooth optimal transport maps
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Plugin estimation of smooth optimal transport maps
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Large-scale wasserstein gradient flows
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Entropic estimation of optimal transport maps
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Optimizing functionals on the space of probabilities with input convex neural networks
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Variational wasserstein gradient flow
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Unpaired image super-resolution with optimal transport maps
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A survey of optimal transport for computer graphics and computer vision
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