Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 328 papers shown

Title
Ridges in the Dark Energy Survey for cosmic trough identification Ben Moews M. Schmitz Andrew J. Lawler J. Zuntz A. Malz R. S. de Souza R. Vilalta A. Krone-Martins E. Ishida 19 3 0 18 May 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 81 0 12 Mar 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 106 0 20 Feb 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization Deyi Liu V. Cevher Quoc Tran-Dinh 36 15 0 17 Feb 2020
Missing Data Imputation using Optimal Transport Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 26 116 0 10 Feb 2020
CO-Optimal Transport Ivegen Redko Titouan Vayer Rémi Flamary Nicolas Courty OT 14 64 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 12 42 0 10 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 29 163 0 09 Feb 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm Khiem Pham Khang Le Nhat Ho Tung Pham Hung Bui OT 60 82 0 09 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 85 194 0 07 Feb 2020
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data Corinne Jones Vincent Roulet Zaïd Harchaoui 38 1 0 30 Dec 2019
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings Matheus Werner E. Laber 11 14 0 01 Dec 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events Sharaj Panwar P. Rad T. Jung Yufei Huang GAN 37 51 0 11 Nov 2019
Self-Assignment Flows for Unsupervised Data Labeling on Graphs Matthias Zisler Artjom Zern Stefania Petra Christoph Schnörr 14 6 0 08 Nov 2019
Approximate Bayesian Computation with the Sliced-Wasserstein Distance Kimia Nadjahi Valentin De Bortoli Alain Durmus Roland Badeau Umut Simsekli 24 25 0 28 Oct 2019
Dynamic multi-agent assignment via discrete optimal transport Koray G. Kachar Alex A. Gorodetsky OT 25 4 0 23 Oct 2019
Optimal Transport Based Generative Autoencoders Oliver Zhang Ruei-Sung Lin Yuchuan Gou GAN DRL 24 2 0 16 Oct 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 6 44 0 14 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 30 25 0 09 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup Thomas Pock GAN 21 9 0 02 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 22 2 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Forward-Backward Splitting for Optimal Transport based Problems Guillermo Ortiz-Jiménez Mireille El Gheche E. Simou Hermina Petric Maretic P. Frossard OT 23 7 0 20 Sep 2019
Minimax Confidence Intervals for the Sliced Wasserstein Distance Tudor Manole Sivaraman Balakrishnan Larry A. Wasserman 19 35 0 17 Sep 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 25 102 0 16 Sep 2019
Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent Konstantin Mishchenko 9 15 0 16 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 25 389 0 23 Aug 2019
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space Thibaut Le Gouic Q. Paris Philippe Rigollet Austin J. Stromme 39 51 0 02 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 27 29 0 19 Jul 2019
Hierarchical Optimal Transport for Document Representation Mikhail Yurochkin Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon OT 21 90 0 26 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 30 94 0 21 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 25 118 0 05 Jun 2019
Confidence Regions in Wasserstein Distributionally Robust Estimation Jose H. Blanchet Karthyek Murthy Nian Si OOD 26 57 0 04 Jun 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 20 50 0 30 May 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem Gonzalo E. Mena Jonathan Niles-Weed OT 8 163 0 28 May 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 31 31 0 26 May 2019
Estimating Convergence of Markov chains with L-Lag Couplings N. Biswas Pierre E. Jacob Paul Vanetti 27 48 0 23 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 191 0 18 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 29 28 0 14 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 17 5 0 12 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 16 42 0 01 May 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 27 155 0 03 Apr 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 30 116 0 28 Mar 2019
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions Malik Tiomoko Romain Couillet 21 4 0 08 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 43 0 19 Feb 2019
Wasserstein Barycenter Model Ensembling Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 30 24 0 13 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 19 15 0 10 Feb 2019