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Learning with a Wasserstein Loss

17 June 2015

Papers citing "Learning with a Wasserstein Loss"

31 / 181 papers shown

Title
Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting Lucas Roberts L. Razoumov Lin Su Bernie Wang OT AI4TS 39 11 0 07 Dec 2017
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications Jérémie Bigot Elsa Cazelles Nicolas Papadakis OT 75 41 0 24 Nov 2017
Sliced Wasserstein Distance for Learning Gaussian Mixture Models Soheil Kolouri Gustavo K. Rohde Heiko Hoffmann 82 122 0 15 Nov 2017
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 98 249 0 07 Nov 2017
Learning to solve inverse problems using Wasserstein loss J. Adler Axel Ringh Ozan Oktem Johan Karlsson 68 38 0 30 Oct 2017
Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani OOD 138 206 0 27 Oct 2017
Learning Wasserstein Embeddings Nicolas Courty Rémi Flamary Mélanie Ducoffe 75 64 0 20 Oct 2017
A Sinkhorn-Newton method for entropic optimal transport Christoph Brauer Christian Clason D. Lorenz B. Wirth OT 15 12 0 18 Oct 2017
Smooth and Sparse Optimal Transport Mathieu Blondel Vivien Seguy Antoine Rolet OT 101 175 0 17 Oct 2017
Optimal Transport for Deep Joint Transfer Learning Ying Lu Liming Chen A. Saidi 50 8 0 09 Sep 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning M. Schmitz Matthieu Heitz Nicolas Bonneel Fred-Maurice Ngole-Mboula D. Coeurjolly Marco Cuturi Gabriel Peyré Jean-Luc Starck OT 116 137 0 07 Aug 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks Lucas Fidon Wenqi Li Luis C. Garcia-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Vercauteren SSeg 128 149 0 03 Jul 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 211 633 0 01 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 100 346 0 30 May 2017
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 97 90 0 21 May 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 186 629 0 05 Mar 2017
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning Manuel Martínez Monica Haurilet Ziad Al-Halah Makarand Tapaswi Rainer Stiefelhagen 44 7 0 22 Nov 2016
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks L. Hou Chen-Ping Yu Dimitris Samaras 127 153 0 17 Nov 2016
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling Hakan Inan Khashayar Khosravi R. Socher 135 385 0 04 Nov 2016
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 138 85 0 20 Oct 2016
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 138 331 0 18 Oct 2016
Theoretical Analysis of Domain Adaptation with Optimal Transport I. Redko Amaury Habrard M. Sebban OT 75 187 0 14 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 220 417 0 11 Oct 2016
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost Nicolas Papadakis Julien Rabin OT 53 16 0 05 Oct 2016
A Transportation $L^p$ Distance for Signal Analysis Matthew Thorpe Serim Park Soheil Kolouri Gustavo K. Rohde D. Slepčev OT 82 39 0 27 Sep 2016
Transport-based analysis, modeling, and learning from signal and data distributions Soheil Kolouri Serim Park Matthew Thorpe D. Slepčev Gustavo K. Rohde DiffM 58 31 0 15 Sep 2016
Wasserstein Discriminant Analysis Rémi Flamary Marco Cuturi Nicolas Courty A. Rakotomamonjy 150 104 0 29 Aug 2016
A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization Jianbo Ye James Z. Wang Jia Li 51 4 0 12 Aug 2016
Estimating individual treatment effect: generalization bounds and algorithms Uri Shalit Fredrik D. Johansson David Sontag CML OOD 99 12 0 13 Jun 2016
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 87 469 0 27 May 2016
Quantifying Distributional Model Risk via Optimal Transport Jose H. Blanchet Karthyek Murthy 92 428 0 05 Apr 2016