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Learning with a Wasserstein Loss

17 June 2015

Papers citing "Learning with a Wasserstein Loss"

50 / 181 papers shown

Title
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 92 23 0 08 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 94 1 0 28 Jan 2022
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe Thibault Séjourné Franccois-Xavier Vialard Gabriel Peyré OT 135 19 0 03 Jan 2022
Cycle Consistent Probability Divergences Across Different Spaces Zhengxin Zhang Youssef Mroueh Ziv Goldfeld Bharath K. Sriperumbudur 79 10 0 22 Nov 2021
Learning Generalized Gumbel-max Causal Mechanisms Guy Lorberbom Daniel D. Johnson Chris J. Maddison Daniel Tarlow Tamir Hazan CML 72 20 0 11 Nov 2021
Data-Centric AI Requires Rethinking Data Notion Mustafa Hajij Ghada Zamzmi Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz 112 16 0 06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 131 7 0 06 Oct 2021
Exact Statistical Inference for the Wasserstein Distance by Selective Inference Vo Nguyen Le Duy Ichiro Takeuchi 82 14 0 29 Sep 2021
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 67 3 0 25 Jul 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 126 75 0 04 Jul 2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression Laetitia Chapel Rémi Flamary Haoran Wu Cédric Févotte Gilles Gasso OT 52 46 0 08 Jun 2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T. Kadeethum Daniel O’Malley J. Fuhg Youngsoo Choi Jonghyun Lee Hari S. Viswanathan N. Bouklas AI4CE 74 88 0 27 May 2021
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization Yubin Ge Site Li Xuyang Li Fangfang Fan Wanqing Xie J. You Xiaofeng Liu 82 8 0 30 Apr 2021
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport Yang Yang Zhao-Yang Fu De-Chuan Zhan Zhi-Bin Liu Yuan Jiang 69 58 0 17 Apr 2021
SPOT: A framework for selection of prototypes using optimal transport Karthik S. Gurumoorthy Pratik Jawanpuria Bamdev Mishra OT 71 12 0 18 Mar 2021
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 70 8 0 01 Mar 2021
Manifold optimization for non-linear optimal transport problems Bamdev Mishra N. Satyadev Hiroyuki Kasai Pratik Jawanpuria OT 79 11 0 01 Mar 2021
Computationally Efficient Wasserstein Loss for Structured Labels Ayato Toyokuni Sho Yokoi H. Kashima M. Yamada 48 2 0 01 Mar 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 66 30 0 25 Feb 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 61 12 0 24 Feb 2021
Towards a mathematical theory of trajectory inference Hugo Lavenant Stephen X. Zhang Young-Heon Kim Geoffrey Schiebinger 50 41 0 18 Feb 2021
Wasserstein Proximal of GANs A. Lin Wuchen Li Stanley Osher Guido Montúfar GAN 50 47 0 13 Feb 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 116 60 0 05 Jan 2021
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 37 7 0 19 Dec 2020
Projected Distribution Loss for Image Enhancement M. Delbracio Hossein Talebi P. Milanfar SupR 84 37 0 16 Dec 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 73 20 0 09 Nov 2020
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training Xiaofeng Liu Yuzhuo Han S. Bai Yi Ge Tianxing Wang Xu Han Site Li J. You Jun Lu 80 55 0 21 Oct 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation Yogesh Balaji Ramalingam Chellappa Soheil Feizi OT 167 105 0 12 Oct 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 99 71 0 09 Sep 2020
A Functional Perspective on Learning Symmetric Functions with Neural Networks Aaron Zweig Joan Bruna 95 22 0 16 Aug 2020
Wasserstein Statistics in One-dimensional Location-Scale Model S. Amari Takeru Matsuda 52 9 0 21 Jul 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 176 25 0 14 Jul 2020
Probabilistic Optimal Transport based on Collective Graphical Models Yasunori Akagi Yusuke Tanaka Tomoharu Iwata Takeshi Kurashima Hiroyuki Toda OT 33 2 0 16 Jun 2020
Fast Unbalanced Optimal Transport on a Tree Ryoma Sato M. Yamada H. Kashima OT 61 26 0 04 Jun 2020
On Linear Optimization over Wasserstein Balls Man-Chung Yue Daniel Kuhn W. Wiesemann 72 52 0 15 Apr 2020
Regularizing activations in neural networks via distribution matching with the Wasserstein metric Taejong Joo Donggu Kang Byunghoon Kim 76 8 0 13 Feb 2020
Missing Data Imputation using Optimal Transport Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 78 127 0 10 Feb 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm Khiem Pham Khang Le Nhat Ho Tung Pham Hung Bui OT 105 84 0 09 Feb 2020
Statistical Optimal Transport posed as Learning Kernel Embedding SakethaNath Jagarlapudi Pratik Jawanpuria OT 42 16 0 08 Feb 2020
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance F. Farokhi OOD 49 7 0 29 Jan 2020
Coupling Matrix Manifolds and Their Applications in Optimal Transport Dai Shi Junbin Gao X. Hong S. Choy Zhiyong Wang OT 23 0 0 15 Nov 2019
Ground Metric Learning on Graphs Matthieu Heitz Nicolas Bonneel D. Coeurjolly Marco Cuturi Gabriel Peyré OT 68 21 0 08 Nov 2019
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis Xiaofeng Liu Xu Han Yukai Qiao Yi Ge Lu Jun 82 33 0 03 Nov 2019
Conservative Wasserstein Training for Pose Estimation Xiaofeng Liu Yang Zou Tong Che Peng Ding P. Jia J. You Kumar B.V.K 88 33 0 03 Nov 2019
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 77 79 0 03 Nov 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 97 74 0 28 Oct 2019
Dynamic multi-agent assignment via discrete optimal transport Koray G. Kachar Alex A. Gorodetsky OT 42 4 0 23 Oct 2019
Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras Younes Zine Rémi Flamary Rémi Gribonval Nicolas Courty OT 97 96 0 09 Oct 2019
Spatio-Temporal Alignments: Optimal transport through space and time H. Janati Marco Cuturi Alexandre Gramfort OT AI4TS 64 29 0 09 Oct 2019
A mathematical theory of cooperative communication Pei Wang Junqi Wang P. Paranamana Patrick Shafto 72 50 0 07 Oct 2019