https://github.com/aditya-grover/uae

Uncertainty Autoencoders, AISTATS 2019

https://github.com/aditya-grover/uae

Science Score: 23.0%

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    Links to: arxiv.org
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    Low similarity (6.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Uncertainty Autoencoders, AISTATS 2019

Basic Info
  • Host: GitHub
  • Owner: aditya-grover
  • Language: Python
  • Default Branch: master
  • Size: 23.4 KB
Statistics
  • Stars: 55
  • Watchers: 3
  • Forks: 15
  • Open Issues: 2
  • Releases: 0
Created over 7 years ago · Last pushed over 7 years ago
Metadata Files
Readme

README.md

Uncertainty Autoencoders

This repository provides a reference implementation for learning uncertainty autoencoders as described in the paper:

Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover, Stefano Ermon
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Paper: https://arxiv.org/abs/1807.01442

Requirements

The codebase is implemented in Python 3.6 and Tensorflow. To install the necessary requirements, run the following commands:

pip install -r requirements.txt

** NOTE: ** An experimental reimplementation is available in pytorch_src/ folder. Use at own risk.

Citing

If you find Uncertainty Autoencoders useful in your research, please consider citing the following paper:

@inproceedings{grover2019uncertainty,
title={Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization},
author={Grover, Aditya and Ermon, Stefano},
booktitle={International Conference on Artificial Intelligence and Statistics},
year={2019}}

Owner

  • Name: Aditya Grover
  • Login: aditya-grover
  • Kind: user

Assistant Professor of Computer Science at UCLA

GitHub Events

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Last Year
  • Watch event: 3

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  • Total Committers: 1
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.0
Past Year
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  • Avg Commits per committer: 0.0
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Top Committers
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Aditya Grover a****1@g****m 4

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Last synced: about 1 year ago

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  • Total issue authors: 3
  • Total pull request authors: 0
  • Average comments per issue: 1.33
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
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  • Average comments per issue: 0
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Top Authors
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  • franciscobarber (1)
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Dependencies

requirements.txt pypi
  • numpy *
  • tensorflow >=1.8,<=1.13