https://github.com/sleepymalc/pseudo-non-linear

Official implementation of the paper "Pseudo-Non-Linear Data Augmentation via Energy Minimization"
https://github.com/sleepymalc/pseudo-non-linear

data-augmentation energy-model information-geometry

Last synced: about 2 months ago
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Official implementation of the paper "Pseudo-Non-Linear Data Augmentation via Energy Minimization"

• Host: GitHub
• URL: https://github.com/sleepymalc/pseudo-non-linear
• Owner: sleepymalc
• Created: 2024-06-24T07:58:27.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-01-29T21:07:45.000Z (4 months ago)
• Last Synced: 2025-03-28T06:43:35.919Z (about 2 months ago)
• Topics: data-augmentation, energy-model, information-geometry
• Language: Jupyter Notebook
• Homepage:
• Size: 35 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pseudo-Non-Linear Data Augmentation

This is the official implementation of [Pseudo-Non-Linear Data Augmentation via Energy Minimization](https://arxiv.org/abs/2410.00718).

![image](https://github.com/user-attachments/assets/49aea781-f462-4c4e-86bd-06b7cf0fb786)

## Setup Guide

In order to use this framework, you need to have a working installation of Python 3.11 or newer.

## Quick Start

## Citations

If you find this repository valuable, please give it a star! Got any questions or feedback? Feel free to open an issue. Using this in your work? Please reference us using the provided citation:

```bibtex

@misc{hu2024pseudononlinear,

  author        = {Pingbang Hu and Mahito Sugiyama},

  title         = {Pseudo-Non-Linear Data Augmentation via Energy Minimization},

  archiveprefix = {arXiv},

  eprint        = {2410.00718},

  primaryclass  = {cs.LG},

  url           = {https://arxiv.org/abs/2410.00718},

  year          = {2024}

}

```