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Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey

8 May 2023

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Papers citing "Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey"

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Title
Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir Martin Trapp Arno Solin DiffM OT 60 7 0 31 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 57 8 0 26 Jan 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 65 54 0 13 Dec 2022
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces Prince Osei Aboagye Yan Zheng Michael Yeh Junpeng Wang Zhongfang Zhuang Huiyuan Chen Liang Wang Wei Zhang J. M. Phillips OT 57 4 0 05 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 89 49 0 16 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 97 42 0 02 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 88 1 0 24 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 99 25 0 18 Oct 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 77 12 0 15 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 218 1,053 0 07 Sep 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 138 65 0 28 Jun 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 117 9 0 24 Jun 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 67 26 0 15 Jun 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime Yunzi Ding Jonathan Niles-Weed OT 65 2 0 13 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 103 24 0 10 Jun 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 82 24 0 13 May 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 87 131 0 05 May 2022
Understanding DDPM Latent Codes Through Optimal Transport Valentin Khrulkov Gleb Ryzhakov Andrei Chertkov Ivan Oseledets OT DiffM 66 53 0 14 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 42 11 0 08 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 97 30 0 28 Jan 2022
Input Convex Gradient Networks Jack Richter-Powell Jonathan Lorraine Brandon Amos 65 15 0 23 Nov 2021
Approximating Optimal Transport via Low-rank and Sparse Factorization Weijie Liu Chao Zhang Nenggan Zheng Hui Qian OT 30 3 0 12 Nov 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 83 85 0 22 Oct 2021
Subspace Detours Meet Gromov-Wasserstein Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz OT 71 6 0 21 Oct 2021
Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization Francis R. Bach Lénaïc Chizat MLT 55 24 0 15 Oct 2021
Order Constraints in Optimal Transport Fabian Lim L. Wynter Shiau Hong Lim OT 72 4 0 14 Oct 2021
The Right to Talk: An Audio-Visual Transformer Approach Thanh-Dat Truong C. Duong T. D. Vu H. Pham Bhiksha Raj Ngan Le Khoa Luu 112 36 0 06 Aug 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More Johannes Klicpera Marten Lienen Stephan Günnemann OT 76 13 0 14 Jul 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 75 37 0 16 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 71 13 0 11 Jun 2021
Large-scale optimal transport map estimation using projection pursuit Cheng Meng Y. Ke Jingyi Zhang Mengrui Zhang Wenxuan Zhong Ping Ma OT 49 38 0 09 Jun 2021
Measuring Generalization with Optimal Transport Ching-Yao Chuang Youssef Mroueh Kristjan Greenewald Antonio Torralba Stefanie Jegelka OT 84 27 0 07 Jun 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Alexander N. Filippov Evgeny Burnaev OT 162 89 0 03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 125 476 0 01 Jun 2021
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering Sateesh Kumar S. Haresh Awais Ahmed Andrey Konin M. Zia Quoc-Huy Tran SSL 88 48 0 27 May 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 252 236 0 23 Mar 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 71 59 0 08 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 80 151 0 05 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 249 1,233 0 02 Mar 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 54 12 0 24 Feb 2021
Point-set Distances for Learning Representations of 3D Point Clouds Trung Nguyen Quang Pham Tam Le Tung Pham Nhat Ho Binh-Son Hua 3DPC 82 73 0 08 Feb 2021
Supervised Tree-Wasserstein Distance Yuki Takezawa Ryoma Sato M. Yamada 63 13 0 27 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 176 673 0 22 Jan 2021
A note on overrelaxation in the Sinkhorn algorithm Tobias Lehmann M. Renesse Alexander Sambale André Uschmajew 60 12 0 23 Dec 2020
Wasserstein Contrastive Representation Distillation Liqun Chen Dong Wang Zhe Gan Jingjing Liu Ricardo Henao Lawrence Carin 82 96 0 15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 382 6,586 0 26 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 62 20 0 09 Nov 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 86 71 0 09 Sep 2020
Continuous Regularized Wasserstein Barycenters Lingxiao Li Aude Genevay Mikhail Yurochkin Justin Solomon 72 48 0 28 Aug 2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization Dylan Campbell Liu Liu Stephen Gould 3DV 3DPC 81 60 0 29 Jul 2020