Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization

2 February 2021

Papers citing "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization"

22 / 22 papers shown

Title
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems Xiaohua Feng Yuyuan Li Fengyuan Yu Ke Xiong Junjie Fang Lihe Zhang Tianyu Du Chaochao Chen AAML 37 0 0 15 Apr 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 53 0 0 04 Oct 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 51 2 0 02 Oct 2023
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 55 15 0 16 Jun 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 26 10 0 12 Jun 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 45 4 0 19 May 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 22 12 0 21 Mar 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 36 1 0 14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 45 5 0 10 Mar 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
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows Florentin Coeurdoux N. Dobigeon P. Chainais OOD OT 34 7 0 04 Jul 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 40 22 0 10 Jun 2022
Learning with Stochastic Orders Carles Domingo-Enrich Yair Schiff Youssef Mroueh 41 2 0 27 May 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 39 24 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 76 54 0 04 Dec 2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 28 5 0 22 Oct 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 23 36 0 16 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 40 53 0 01 Jun 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 26 59 0 08 Mar 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 603 0 22 Sep 2016