On Scalable and Efficient Computation of Large Scale Optimal Transport

On Scalable and Efficient Computation of Large Scale Optimal Transport

1 May 2019

Papers citing "On Scalable and Efficient Computation of Large Scale Optimal Transport"

11 / 11 papers shown

Title
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 60 15 0 16 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 46 19 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 45 4 0 19 May 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 36 1 0 14 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 42 37 0 02 Nov 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 39 24 0 28 Jan 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Partial Wasserstein Covering Keisuke Kawano Satoshi Koide Keisuke Otaki 31 3 0 02 Jun 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 22 48 0 02 Feb 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020