Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 328 papers shown

Title
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 39 24 0 28 Jan 2022
Measure Estimation in the Barycentric Coding Model Matthew Werenski Ruijie Jiang Abiy Tasissa Shuchin Aeron James M. Murphy 40 14 0 28 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 48 3 0 15 Jan 2022
Entropic Optimal Transport in Random Graphs Nicolas Keriven OT 20 4 0 11 Jan 2022
Inductive Semi-supervised Learning Through Optimal Transport Mourad El Hamri Younès Bennani Issam Falih OT 16 2 0 14 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 2021
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 30 8 0 06 Dec 2021
Schema matching using Gaussian mixture models with Wasserstein distance Mateusz Przyborowski Mateusz Pabi's Andrzej Janusz D. Ślęzak 17 0 0 28 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 30 22 0 24 Nov 2021
Class-agnostic Object Detection with Multi-modal Transformer Muhammad Maaz H. Rasheed Salman Khan Fahad Shahbaz Khan Rao Muhammad Anwer Ming Yang 23 91 0 22 Nov 2021
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data Michał Gerasimiuk Dennis L. Shung Alexander Tong A. Stanley M. Schultz Jeffrey Ngu Loren Laine Guy Wolf Smita Krishnaswamy 14 0 0 19 Nov 2021
Learning Scene Dynamics from Point Cloud Sequences Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 36 18 0 16 Nov 2021
On Adaptive Confidence Sets for the Wasserstein Distances N. Deo Thibault Randrianarisoa 28 2 0 16 Nov 2021
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method Zhongjian Wang Jack Xin Zhiwen Zhang 39 15 0 02 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 19 71 0 01 Nov 2021
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 26 6 0 28 Oct 2021
Mapping conditional distributions for domain adaptation under generalized target shift Matthieu Kirchmeyer A. Rakotomamonjy Emmanuel de Bézenac Patrick Gallinari OOD 39 22 0 26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 57 102 0 22 Oct 2021
Graph Filtration Kernels Till Hendrik Schulz Pascal Welke Stefanie Wrobel 24 12 0 22 Oct 2021
A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation Vien V. Mai Jacob Lindbäck M. Johansson OT 16 7 0 22 Oct 2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 26 5 0 22 Oct 2021
SOMA: Solving Optical Marker-Based MoCap Automatically N. Ghorbani Michael J. Black 24 30 0 09 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 40 23 0 06 Oct 2021
Optimal transport weights for causal inference Eric A. Dunipace CML OT 28 9 0 05 Sep 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters Pierre Colombo Guillaume Staerman Chloé Clavel Pablo Piantanida 27 41 0 27 Aug 2021
Relative Entropy-Regularized Optimal Transport on a Graph: a new algorithm and an experimental comparison Sylvain Courtain Guillaume Guex Ilkka Kivimäki M. Saerens OT 20 3 0 23 Aug 2021
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis Tarek Frahi Abel Sancarlos M. Galle Xavier Beaulieu A. Chambard Antonio Falcó Elías Cueto Francisco Chinesta 16 1 0 19 Aug 2021
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences William Torous F. Gunsilius Philippe Rigollet OT 55 15 0 12 Aug 2021
High-Dimensional Distribution Generation Through Deep Neural Networks Dmytro Perekrestenko Léandre Eberhard Helmut Bölcskei OOD 38 6 0 26 Jul 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 28 92 0 26 Jul 2021
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 32 3 0 25 Jul 2021
Fast and Scalable Optimal Transport for Brain Tractograms Jean Feydy Pierre Roussillon A. Trouvé Pietro Gori OT 27 24 0 05 Jul 2021
Poisoning Attack against Estimating from Pairwise Comparisons Ke Ma Qianqian Xu Jinshan Zeng Xiaochun Cao Qingming Huang AAML 24 22 0 05 Jul 2021
A Primer on Pretrained Multilingual Language Models Sumanth Doddapaneni Gowtham Ramesh Mitesh M. Khapra Anoop Kunchukuttan Pratyush Kumar LRM 43 74 0 01 Jul 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 26 0 0 24 Jun 2021
Asymptotics for semi-discrete entropic optimal transport Jason M. Altschuler Jonathan Niles-Weed Austin J. Stromme 19 27 0 22 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 37 12 0 22 Jun 2021
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity Jian Huang Yuling Jiao Lican Kang Xu Liao Jin Liu Yanyan Liu 35 27 0 21 Jun 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs Pei Ke Haozhe Ji Yuanyuan Ran Xin Cui Liwei Wang Linfeng Song Xiaoyan Zhu Minlie Huang 59 95 0 19 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 29 122 0 17 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 51 82 0 11 Jun 2021
Inter-domain Multi-relational Link Prediction Luu Huu Phuc Koh Takeuchi Seiji Okajima A. Tolmachev T. Takebayashi Koji Maruhashi H. Kashima 48 0 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 24 38 0 09 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 34 47 0 03 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 2021
Sampling From the Wasserstein Barycenter Chiheb Daaloul Thibaut Le Gouic J. Liandrat M. I. O. Technology 15 6 0 04 May 2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions Guillaume Staerman Pavlo Mozharovskyi Pierre Colombo Stéphan Clémenccon Florence dÁlché-Buc OOD 66 17 0 23 Mar 2021
Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems G. Friesecke Andreas S. Schulz Daniel Vogler OT 19 17 0 23 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling Foivos Ntelemis Yaochu Jin S. Thomas SSL 21 25 0 12 Mar 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 26 59 0 08 Mar 2021