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mmd-reg-ot

Code for our TMLR '24 Journal: MMD-Regularized UOT.

https://github.com/piyushi-0/mmd-reg-ot

Science Score: 54.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary

Keywords

barycenter domain-adaptation mmd optimal-transport prompt-learning pytorch two-sample-test wasserstein
Last synced: 6 months ago · JSON representation ·

Repository

Code for our TMLR '24 Journal: MMD-Regularized UOT.

Basic Info
  • Host: GitHub
  • Owner: Piyushi-0
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 28.1 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Topics
barycenter domain-adaptation mmd optimal-transport prompt-learning pytorch two-sample-test wasserstein
Created over 2 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

Code for our TMLR Journal (invited poster at ICLR '25): MMD-Regularized Unbalanced Optimal Transport

  • You may first install PyTorch and Torchvision via conda install pytorch==1.13.1 torchvision==0.14.1 pytorch-cuda=11.6 -c pytorch -c nvidia.
  • The other packages used in this repository can be installed via pip install -r requirements.txt.
  • To install our ot_mmd package, please clone this repository and run pip install .

Algorithms

Video Presentation

If you find this useful, consider giving a ⭐ to this repository & citing our work and my PhD thesis.

Owner

  • Name: Piyushi Manupriya
  • Login: Piyushi-0
  • Kind: user

Google PhD Fellow 2021, IIT Hyderabad

Citation (CITATION.cff) 

@article{
manupriya2024mmdregularized,
title={{MMD}-Regularized Unbalanced Optimal Transport},
author={Piyushi Manupriya and SakethaNath Jagarlapudi and Pratik Jawanpuria},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=eN9CjU3h1b},
note={}
}

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