Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 375 papers shown

Title
Re-evaluating Word Mover's Distance Ryoma Sato M. Yamada H. Kashima 28 23 0 30 May 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels Yufan Zhou Changyou Chen Jinhui Xu 9 2 0 10 May 2021
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes H. Q. Minh 17 2 0 26 Apr 2021
Fast ABC with joint generative modelling and subset simulation Eliane Maalouf D. Ginsbourger N. Linde 24 0 0 16 Apr 2021
Landmarks Augmentation with Manifold-Barycentric Oversampling Iaroslav Bespalov N. Buzun Oleg Kachan Dmitry V. Dylov MedIm 29 4 0 02 Apr 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 25 61 0 29 Mar 2021
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution Bahar Taşkesen Soroosh Shafieezadeh-Abadeh Daniel Kuhn OT 11 23 0 10 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 16 146 0 05 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Manifold optimization for non-linear optimal transport problems Bamdev Mishra N. Satyadev Hiroyuki Kasai Pratik Jawanpuria OT 6 10 0 01 Mar 2021
Mitigating Domain Mismatch in Face Recognition Using Style Matching Chun-Hsien Lin Bing-Fei Wu CVBM 13 3 0 26 Feb 2021
Diffusion Earth Mover's Distance and Distribution Embeddings Alexander Tong G. Huguet A. Natik Kincaid MacDonald Manik Kuchroo Ronald R. Coifman Guy Wolf Smita Krishnaswamy MedIm 6 29 0 25 Feb 2021
Improving Approximate Optimal Transport Distances using Quantization Gaspard Beugnot Aude Genevay Kristjan Greenewald Justin Solomon OT MQ 146 9 0 25 Feb 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 14 12 0 24 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 39 66 0 15 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 11 8 0 14 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le Huy Le Nguyen Quang H. Nguyen Tung Pham Hung Bui Nhat Ho OT 20 37 0 13 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 14 19 0 12 Feb 2021
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors Geert-Jan Huizing Laura Cantini Gabriel Peyré SSL OT 20 4 0 11 Feb 2021
On Transportation of Mini-batches: A Hierarchical Approach Khai Nguyen Dang Nguyen Quoc Nguyen Tung Pham Hung Bui Dinh Q. Phung Trung Le Nhat Ho OT 13 18 0 11 Feb 2021
On the Existence of Optimal Transport Gradient for Learning Generative Models Antoine Houdard Arthur Leclaire Nicolas Papadakis Julien Rabin OT GAN 6 6 0 10 Feb 2021
Conditional Loss and Deep Euler Scheme for Time Series Generation Carl Remlinger Joseph Mikael Romuald Elie DiffM 19 12 0 10 Feb 2021
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals Anton Mallasto OT 19 1 0 05 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks Quentin Bouniot Romaric Audigier Angélique Loesch AAML OOD 8 9 0 05 Feb 2021
Learning High Dimensional Wasserstein Geodesics Shu Liu Shaojun Ma Yongxin Chen H. Zha Haomin Zhou 17 8 0 05 Feb 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation A. Vacher Boris Muzellec Alessandro Rudi Francis R. Bach François-Xavier Vialard OT 17 26 0 13 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 63 53 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 46 5 0 05 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 22 29 0 28 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 15 2 0 11 Dec 2020
Model Compression Using Optimal Transport Suhas Lohit Michael J. Jones 10 8 0 07 Dec 2020
Aligning Hyperbolic Representations: an Optimal Transport-based approach Andrés Hoyos-Idrobo OT 6 8 0 02 Dec 2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 13 13 0 15 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 17 19 0 09 Nov 2020
Sinkhorn Natural Gradient for Generative Models Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani GAN DiffM 8 12 0 09 Nov 2020
Efficient Robust Optimal Transport with Application to Multi-Label Classification Pratik Jawanpuria N. Satyadev Bamdev Mishra OT 6 3 0 22 Oct 2020
Statistical guarantees for generative models without domination Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 57 34 0 19 Oct 2020
Differentiable Divergences Between Time Series Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 40 38 0 16 Oct 2020
Improving Text Generation with Student-Forcing Optimal Transport Guoyin Wang Chunyuan Li Jianqiao Li Hao Fu Yuh-Chen Lin ... Ruiyi Zhang Wenlin Wang Dinghan Shen Qian Yang Lawrence Carin OT 22 17 0 12 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 12 0 0 07 Oct 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 22 69 0 29 Aug 2020
Quantum versus Classical Generative Modelling in Finance Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 6 59 0 03 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 12 22 0 29 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 115 183 0 22 Jul 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 29 9 0 17 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 8 22 0 14 Jul 2020
Representation Transfer by Optimal Transport Xuhong Li Yves Grandvalet Rémi Flamary Nicolas Courty Dejing Dou OT 11 8 0 13 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 26 56 0 08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 23 444 0 07 Jul 2020
Online Domain Adaptation for Occupancy Mapping A. Tompkins Ransalu Senanayake F. Ramos 8 11 0 01 Jul 2020