Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

28 / 328 papers shown

Title
Subspace Robust Wasserstein Distances François-Pierre Paty Marco Cuturi 30 150 0 25 Jan 2019
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures Bernard Bercu Jérémie Bigot 16 19 0 21 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 21 518 0 07 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 26 64 0 30 Nov 2018
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
Semi-dual Regularized Optimal Transport Marco Cuturi Gabriel Peyré OT 73 50 0 13 Nov 2018
Unsupervised Hyperalignment for Multilingual Word Embeddings J. Alaux Edouard Grave Marco Cuturi Armand Joulin 27 70 0 02 Nov 2018
Empirical Regularized Optimal Transport: Statistical Theory and Applications M. Klatt Carla Tameling Axel Munk OT 44 59 0 23 Oct 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 23 520 0 18 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 42 209 0 13 Oct 2018
Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances Jialin Liu W. Yin Wuchen Li Y. T. Chow OT 10 36 0 29 Sep 2018
Encoding Robust Representation for Graph Generation Dongmian Zou Gilad Lerman GNN 27 0 0 28 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 28 62 0 26 Sep 2018
Towards Optimal Transport with Global Invariances David Alvarez-Melis Stefanie Jegelka Tommi Jaakkola OT 29 71 0 25 Jun 2018
Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reduction P. Dixit 21 6 0 13 Jun 2018
An explicit analysis of the entropic penalty in linear programming Jonathan Niles-Weed 18 47 0 05 Jun 2018
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals K. Hartmann R. Schirrmeister T. Ball GAN AI4TS 30 229 0 05 Jun 2018
Sobolev Descent Youssef Mroueh Tom Sercu Anant Raj OT 21 1 0 30 May 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 24 130 0 30 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 19 42 0 29 May 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave Armand Joulin Quentin Berthet 17 198 0 29 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 25 266 0 23 May 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions Boris Muzellec Marco Cuturi 36 78 0 19 May 2018
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds Sridhar Mahadevan Bamdev Mishra Shalini Ghosh 6 26 0 28 Apr 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le M. Yamada 30 78 0 10 Feb 2018
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 56 84 0 20 Oct 2016
Wasserstein Discriminant Analysis Rémi Flamary Marco Cuturi Nicolas Courty A. Rakotomamonjy 18 100 0 29 Aug 2016
Empirical geodesic graphs and CAT(k) metrics for data analysis Kei Kobayashi H. Wynn 32 11 0 13 Jan 2014