Computing high-dimensional optimal transport by flow neural networks

Computing high-dimensional optimal transport by flow neural networks

19 May 2023

Yao Xie

Papers citing "Computing high-dimensional optimal transport by flow neural networks"

11 / 11 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 62 0 0 04 Feb 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 Jan 2025
Flow-based Distributionally Robust Optimization Chen Xu Jonghyeok Lee Xiuyuan Cheng Yao Xie OOD 26 4 0 30 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 91 15 0 26 Oct 2023
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 113 83 0 29 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 26 6 0 22 Sep 2022
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows Florentin Coeurdoux N. Dobigeon P. Chainais OOD OT 21 7 0 04 Jul 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 113 87 0 28 Jan 2022
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 104 95 0 10 Dec 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 101 100 0 28 Sep 2019
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 209 19,191 0 21 Nov 2016