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v1v2v3 (latest)

Learning Generative Models with Sinkhorn Divergences

International Conference on Artificial Intelligence and Statistics (AISTATS), 2017

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 399 papers shown

Title
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 212 66 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 189 5 0 05 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsNeural Information Processing Systems (NeurIPS), 2020 Huangjie Zheng Mingyuan Zhou OT 584 30 0 28 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 214 2 0 11 Dec 2020
Model Compression Using Optimal Transport Suhas Lohit Michael J. Jones 229 9 0 07 Dec 2020
Aligning Hyperbolic Representations: an Optimal Transport-based approach Andrés Hoyos-Idrobo OT 181 10 0 02 Dec 2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 222 16 0 15 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 274 22 0 09 Nov 2020
Sinkhorn Natural Gradient for Generative Models Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani GAN DiffM 101 13 0 09 Nov 2020
Efficient Robust Optimal Transport with Application to Multi-Label Classification Pratik Jawanpuria N. Satyadev Bamdev Mishra OT 136 6 0 22 Oct 2020
Statistical guarantees for generative models without dominationInternational Conference on Algorithmic Learning Theory (ALT), 2020 Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 223 39 0 19 Oct 2020
Differentiable Divergences Between Time SeriesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 384 44 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 206 18 0 12 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 156 0 0 07 Oct 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGANIEEE Transactions on Computational Imaging (TCI), 2020 Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 185 74 0 29 Aug 2020
Quantum versus Classical Generative Modelling in FinanceQuantum Science and Technology (QST), 2020 Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 160 66 0 03 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 172 21 0 29 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 410 215 0 22 Jul 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 152 10 0 17 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 314 25 0 14 Jul 2020
Representation Transfer by Optimal Transport Xuhong Li Yves Grandvalet Rémi Flamary Nicolas Courty Dejing Dou OT 151 8 0 13 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural NetworksInternational Conference on Machine Learning (ICML), 2020 JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 302 61 0 08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 451 518 0 07 Jul 2020
Online Domain Adaptation for Occupancy Mapping A. Tompkins Ransalu Senanayake F. Ramos 183 11 0 01 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 316 332 0 25 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportConference on Uncertainty in Artificial Intelligence (UAI), 2020 Rosanna Turrisi Rémi Flamary A. Rakotomamonjy Massimiliano Pontil OT 214 35 0 23 Jun 2020
Aligning Time Series on Incomparable SpacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos M. Deisenroth OT AI4TS 264 18 0 22 Jun 2020
When OT meets MoM: Robust estimation of Wasserstein Distance Guillaume Staerman Pierre Laforgue Pavlo Mozharovskyi Florence dÁlché-Buc OOD 643 31 0 18 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 171 121 0 15 Jun 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 230 142 0 15 Jun 2020
Projection Robust Wasserstein Distance and Riemannian OptimizationNeural Information Processing Systems (NeurIPS), 2020 Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Sai Li 604 77 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive FeaturesNeural Information Processing Systems (NeurIPS), 2020 M. Scetbon Marco Cuturi 205 27 0 12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise GeneratorIEEE Access (IEEE Access), 2020 Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 121 28 0 11 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 390 48 0 08 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 212 63 0 05 Jun 2020
Debiased Sinkhorn barycentersInternational Conference on Machine Learning (ICML), 2020 H. Janati Marco Cuturi Alexandre Gramfort OT 121 61 0 03 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed FormNeural Information Processing Systems (NeurIPS), 2020 H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 287 93 0 03 Jun 2020
Double Generative Adversarial Networks for Conditional Independence TestingJournal of machine learning research (JMLR), 2020 C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 377 32 0 03 Jun 2020
The energy distance for ensemble and scenario reduction F. Ziel 131 10 0 29 May 2020
Tessellated Wasserstein Auto-Encoders Kuo Gai Shihua Zhang DRL 125 1 0 20 May 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Zhenyi Wang Xiaoyang Wang Bang An Dong Yu Changyou Chen LMTD 332 88 0 03 May 2020
Synchronizing Probability Measures on Rotations via Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2020 Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 164 31 0 01 Apr 2020
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space Khoa D. Doan Saurav Manchanda Fengjiao Wang S. Keerthi Avradeep Bhowmik Chandan K. Reddy 170 6 0 26 Mar 2020
Wasserstein-based Graph AlignmentIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020 Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 117 25 0 12 Mar 2020
Statistical and Topological Properties of Sliced Probability DivergencesNeural Information Processing Systems (NeurIPS), 2020 Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 187 95 0 12 Mar 2020
Online Sinkhorn: Optimal Transport distances from sample streams A. Mensch Gabriel Peyré OT 170 1 0 03 Mar 2020
Joint Wasserstein Distribution Matching Jingyun Liang Langyuan Mo Qing Du Yong Guo P. Zhao Junzhou Huang Zhuliang Yu 89 0 0 01 Mar 2020
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field GamesProceedings of the National Academy of Sciences of the United States of America (PNAS), 2020 A. Lin Samy Wu Fung Wuchen Li L. Nurbekyan Stanley J. Osher 270 91 0 24 Feb 2020
Stochastic Optimization for Regularized Wasserstein EstimatorsInternational Conference on Machine Learning (ICML), 2020 Marin Ballu Quentin Berthet Francis R. Bach 143 17 0 20 Feb 2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances Gaëtan Hadjeres Frank Nielsen 100 0 0 19 Feb 2020

v1v2v3 (latest)

Learning Generative Models with Sinkhorn Divergences

International Conference on Artificial Intelligence and Statistics (AISTATS), 2017

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 399 papers shown

Title
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 212 66 0 05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 189 5 0 05 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsNeural Information Processing Systems (NeurIPS), 2020 Huangjie Zheng Mingyuan Zhou OT 584 30 0 28 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 214 2 0 11 Dec 2020
Model Compression Using Optimal Transport Suhas Lohit Michael J. Jones 229 9 0 07 Dec 2020
Aligning Hyperbolic Representations: an Optimal Transport-based approach Andrés Hoyos-Idrobo OT 181 10 0 02 Dec 2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 222 16 0 15 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 274 22 0 09 Nov 2020
Sinkhorn Natural Gradient for Generative Models Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani GAN DiffM 101 13 0 09 Nov 2020
Efficient Robust Optimal Transport with Application to Multi-Label Classification Pratik Jawanpuria N. Satyadev Bamdev Mishra OT 136 6 0 22 Oct 2020
Statistical guarantees for generative models without dominationInternational Conference on Algorithmic Learning Theory (ALT), 2020 Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 223 39 0 19 Oct 2020
Differentiable Divergences Between Time SeriesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 384 44 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 206 18 0 12 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 156 0 0 07 Oct 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGANIEEE Transactions on Computational Imaging (TCI), 2020 Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 185 74 0 29 Aug 2020
Quantum versus Classical Generative Modelling in FinanceQuantum Science and Technology (QST), 2020 Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 160 66 0 03 Aug 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning Giulia Luise Massimiliano Pontil C. Ciliberto GAN OT 172 21 0 29 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 410 215 0 22 Jul 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 152 10 0 17 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 314 25 0 14 Jul 2020
Representation Transfer by Optimal Transport Xuhong Li Yves Grandvalet Rémi Flamary Nicolas Courty Dejing Dou OT 151 8 0 13 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural NetworksInternational Conference on Machine Learning (ICML), 2020 JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 302 61 0 08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 451 518 0 07 Jul 2020
Online Domain Adaptation for Occupancy Mapping A. Tompkins Ransalu Senanayake F. Ramos 183 11 0 01 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk Allan Jabri Andrew Owens Alexei A. Efros SSL OT 316 332 0 25 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportConference on Uncertainty in Artificial Intelligence (UAI), 2020 Rosanna Turrisi Rémi Flamary A. Rakotomamonjy Massimiliano Pontil OT 214 35 0 23 Jun 2020
Aligning Time Series on Incomparable SpacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos M. Deisenroth OT AI4TS 264 18 0 22 Jun 2020
When OT meets MoM: Robust estimation of Wasserstein Distance Guillaume Staerman Pierre Laforgue Pavlo Mozharovskyi Florence dÁlché-Buc OOD 643 31 0 18 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 171 121 0 15 Jun 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 230 142 0 15 Jun 2020
Projection Robust Wasserstein Distance and Riemannian OptimizationNeural Information Processing Systems (NeurIPS), 2020 Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Sai Li 604 77 0 12 Jun 2020
Linear Time Sinkhorn Divergences using Positive FeaturesNeural Information Processing Systems (NeurIPS), 2020 M. Scetbon Marco Cuturi 205 27 0 12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise GeneratorIEEE Access (IEEE Access), 2020 Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 121 28 0 11 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 390 48 0 08 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 212 63 0 05 Jun 2020
Debiased Sinkhorn barycentersInternational Conference on Machine Learning (ICML), 2020 H. Janati Marco Cuturi Alexandre Gramfort OT 121 61 0 03 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed FormNeural Information Processing Systems (NeurIPS), 2020 H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 287 93 0 03 Jun 2020
Double Generative Adversarial Networks for Conditional Independence TestingJournal of machine learning research (JMLR), 2020 C. Shi Tianlin Xu Wicher P. Bergsma Lexin Li 377 32 0 03 Jun 2020
The energy distance for ensemble and scenario reduction F. Ziel 131 10 0 29 May 2020
Tessellated Wasserstein Auto-Encoders Kuo Gai Shihua Zhang DRL 125 1 0 20 May 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Zhenyi Wang Xiaoyang Wang Bang An Dong Yu Changyou Chen LMTD 332 88 0 03 May 2020
Synchronizing Probability Measures on Rotations via Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2020 Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 164 31 0 01 Apr 2020
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space Khoa D. Doan Saurav Manchanda Fengjiao Wang S. Keerthi Avradeep Bhowmik Chandan K. Reddy 170 6 0 26 Mar 2020
Wasserstein-based Graph AlignmentIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020 Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 117 25 0 12 Mar 2020
Statistical and Topological Properties of Sliced Probability DivergencesNeural Information Processing Systems (NeurIPS), 2020 Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 187 95 0 12 Mar 2020
Online Sinkhorn: Optimal Transport distances from sample streams A. Mensch Gabriel Peyré OT 170 1 0 03 Mar 2020
Joint Wasserstein Distribution Matching Jingyun Liang Langyuan Mo Qing Du Yong Guo P. Zhao Junzhou Huang Zhuliang Yu 89 0 0 01 Mar 2020
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field GamesProceedings of the National Academy of Sciences of the United States of America (PNAS), 2020 A. Lin Samy Wu Fung Wuchen Li L. Nurbekyan Stanley J. Osher 270 91 0 24 Feb 2020
Stochastic Optimization for Regularized Wasserstein EstimatorsInternational Conference on Machine Learning (ICML), 2020 Marin Ballu Quentin Berthet Francis R. Bach 143 17 0 20 Feb 2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances Gaëtan Hadjeres Frank Nielsen 100 0 0 19 Feb 2020