Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 328 papers shown

Title
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 35 1 0 24 Oct 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport Mourad El Hamri Younès Bennani Issam Falih 22 1 0 24 Oct 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 30 17 0 21 Oct 2022
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs Marc Theveneau Nicolas Keriven 21 4 0 19 Oct 2022
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 42 24 0 19 Oct 2022
Overlap-guided Gaussian Mixture Models for Point Cloud Registration Guofeng Mei Fabio Poiesi Cristiano Saltori Jian Zhang Elisa Ricci N. Sebe 31 21 0 17 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 34 12 0 13 Oct 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 34 7 0 12 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu Xiao Wang Deyu Bo Chuan Shi Jian Pei 25 62 0 05 Oct 2022
Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics Zihao Wang Jiaheng Dou Yong Zhang OT 40 4 0 05 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models Guangyi Chen Weiran Yao Xiangchen Song Xinyue Li Yongming Rao Kun Zhang VPVLM VLM 8 62 0 03 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 38 20 0 27 Sep 2022
Multivariate Wasserstein Functional Connectivity for Autism Screening Oleg Kachan A. Bernstein 9 0 0 23 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 39 3 0 23 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 32 6 0 22 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen Jun Zhao 51 38 0 21 Sep 2022
The GenCol algorithm for high-dimensional optimal transport: general formulation and application to barycenters and Wasserstein splines G. Friesecke Maximilian Penka OT 38 11 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 0 0 14 Sep 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 36 2 0 01 Sep 2022
Wasserstein Task Embedding for Measuring Task Similarities Xinran Liu Yikun Bai Yuzhe Lu Andrea Soltoggio Soheil Kolouri OT 20 22 0 24 Aug 2022
DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space Xigran Liao Baoliang Chen Hanwei Zhu Shiqi Wang Mingliang Zhou Sam Kwong 24 23 0 05 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 40 24 0 05 Aug 2022
Riemannian Diffusion Schrödinger Bridge James Thornton M. Hutchinson Emile Mathieu Valentin De Bortoli Yee Whye Teh Arnaud Doucet DiffM 35 7 0 07 Jul 2022
VMRF: View Matching Neural Radiance Fields Jiahui Zhang Fangneng Zhan Rongliang Wu Yingchen Yu Wenqing Zhang Bai Song Xiaoqin Zhang Shijian Lu 31 22 0 06 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 22 8 0 28 Jun 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 57 8 0 24 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 24 0 0 23 Jun 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise Xiuyuan Cheng Boris Landa 38 3 0 22 Jun 2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation Jingyi Zhang Cheng Meng Jun Yu Mengrui Zhang Wenxuan Zhong Ping Ma OT 32 12 0 31 May 2022
Fast Nonlinear Vector Quantile Regression Aviv A. Rosenberg S. Vedula Yaniv Romano A. Bronstein 27 7 0 30 May 2022
Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem Takumi Fukunaga Hiroyuki Kasai OT 27 8 0 27 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 22 0 07 May 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering Lukas Schulth Christian Berghoff Matthias Neu AAML 17 5 0 27 Apr 2022
Nonparametric Multiple-Output Center-Outward Quantile Regression E. del Barrio Alberto González Sanz Marc Hallin 27 27 0 25 Apr 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 34 32 0 19 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 25 9 0 18 Apr 2022
Efficient Linear Attention for Fast and Accurate Keypoint Matching Suwichaya Suwanwimolkul S. Komorita 3DPC 3DV 22 11 0 16 Apr 2022
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning Keaton Hamm Nick Henscheid Shujie Kang 36 17 0 13 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 30 25 0 04 Apr 2022
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms Amirhossein Taghvaei Bamdad Hosseini OT 34 17 0 22 Mar 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport Jiying Zhang Xi Xiao Long-Kai Huang Yu Rong Yatao Bian OT 24 32 0 20 Mar 2022
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints Eric Daoud Luca Ganassali Antoine Baker Marc Lelarge 30 0 0 18 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities Sinho Chewi Aram-Alexandre Pooladian 36 36 0 09 Mar 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 23 53 0 27 Feb 2022
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity Shayan Hundrieser Thomas Staudt Axel Munk OT 39 22 0 21 Feb 2022
Optimal Transport for Super Resolution Applied to Astronomy Imaging Michael Rawson Jakob Hultgren OT 13 0 0 10 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 13 10 0 08 Feb 2022
Unified Scaling Laws for Routed Language Models Aidan Clark Diego de Las Casas Aurelia Guy A. Mensch Michela Paganini ... Oriol Vinyals Jack W. Rae Erich Elsen Koray Kavukcuoglu Karen Simonyan MoE 27 177 0 02 Feb 2022
Riemannian block SPD coupling manifold and its application to optimal transport Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao OT 30 6 0 30 Jan 2022