ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.04462
  4. Cited By
Scalable Computations of Wasserstein Barycenter via Input Convex Neural
  Networks

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks

8 July 2020
JiaoJiao Fan
Amirhossein Taghvaei
Yongxin Chen
ArXivPDFHTML

Papers citing "Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks"

14 / 14 papers shown
Title
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
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
Nonlinear Filtering with Brenier Optimal Transport Maps
Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah
Niyizhen Jin
Bamdad Hosseini
Amirhossein Taghvaei
27
2
0
21 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
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
Generating Synthetic Datasets by Interpolating along Generalized
  Geodesics
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
JiaoJiao Fan
David Alvarez-Melis
19
10
0
12 Jun 2023
Computing high-dimensional optimal transport by flow neural networks
Computing high-dimensional optimal transport by flow neural networks
Chen Xu
Xiuyuan Cheng
Yao Xie
OT
35
4
0
19 May 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
18
11
0
21 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda
Marco Cuturi
OT
47
26
0
09 Feb 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
33
24
0
18 Oct 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
24
24
0
28 Jan 2022
Variational Wasserstein gradient flow
Variational Wasserstein gradient flow
JiaoJiao Fan
Qinsheng Zhang
Amirhossein Taghvaei
Yongxin Chen
72
54
0
04 Dec 2021
Input Convex Gradient Networks
Input Convex Gradient Networks
Jack Richter-Powell
Jonathan Lorraine
Brandon Amos
10
15
0
23 Nov 2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Jinjin Chi
Zhiyao Yang
Jihong Ouyang
Ximing Li
24
5
0
22 Oct 2021
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
122
100
0
28 Sep 2019
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
175
597
0
22 Sep 2016
1