Wasserstein Iterative Networks for Barycenter Estimation

28 January 2022

Papers citing "Wasserstein Iterative Networks for Barycenter Estimation"

23 / 23 papers shown

Title
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 44 0 0 04 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 43 0 0 03 Oct 2024
Relative-Translation Invariant Wasserstein Distance Binshuai Wang Qiwei Di Ming Yin Mengdi Wang Quanquan Gu Peng Wei 24 0 0 04 Sep 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 26 11 0 19 Mar 2024
Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer E. Burnaev Alexander Korotin OT 28 5 0 06 Feb 2024
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 26 4 0 02 Oct 2023
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 34 2 0 02 Oct 2023
Wasserstein Geodesic Generator for Conditional Distributions Young-geun Kim Kyungbok Lee Youngwon Choi Joong-Ho Won M. Paik 18 4 0 20 Aug 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 19 10 0 12 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters Maxence Noble Valentin De Bortoli Arnaud Doucet Alain Durmus DiffM OT 32 7 0 26 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 43 12 0 08 May 2023
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 38 21 0 12 Apr 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Bo-wen Li Ding Zhao OOD 32 2 0 04 Feb 2023
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 19 26 0 15 Jun 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 78 32 0 30 May 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 127 88 0 28 Jan 2022
Variational Wasserstein Barycenters with c-Cyclical Monotonicity Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 19 5 0 22 Oct 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Barycentric-alignment and reconstruction loss minimization for domain generalization Boyang Lyu Thuan Q. Nguyen Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 31 4 0 04 Sep 2021
Neural Monge Map estimation and its applications JiaoJiao Fan Shu Liu Shaojun Ma Haomin Zhou Yongxin Chen OT 22 23 0 07 Jun 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 120 100 0 28 Sep 2019
Bayesian Learning with Wasserstein Barycenters Julio D. Backhoff Veraguas J. Fontbona Gonzalo Rios Felipe A. Tobar 15 29 0 28 May 2018
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016