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. 2102.12731
  4. Cited By
Improving Approximate Optimal Transport Distances using Quantization

Improving Approximate Optimal Transport Distances using Quantization

25 February 2021
Gaspard Beugnot
Aude Genevay
Kristjan Greenewald
Justin Solomon
    OT
    MQ
ArXivPDFHTML

Papers citing "Improving Approximate Optimal Transport Distances using Quantization"

4 / 4 papers shown
Title
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
45
13
0
08 May 2023
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces
Prince Osei Aboagye
Yan Zheng
Michael Yeh
Junpeng Wang
Zhongfang Zhuang
Huiyuan Chen
Liang Wang
Wei Zhang
J. M. Phillips
OT
17
4
0
05 Dec 2022
A Data-dependent Approach for High Dimensional (Robust) Wasserstein
  Alignment
A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment
Hu Ding
Wenjie Liu
Mingquan Ye
26
2
0
07 Sep 2022
Discrepancy-based Inference for Intractable Generative Models using
  Quasi-Monte Carlo
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo
Ziang Niu
J. Meier
F. Briol
29
12
0
22 Jun 2021
1