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@tvlearn

tvlearn

Description

The organization TVLearn aims at bundling projects on truncated variational optimization of multiple causes latent variable models in order to (A) disseminate the algorithms for interested researchers and practitioners, and (B) to encourage further developments and to support future projects.

Related Publications

Jakob Drefs*, Enrico Guiraud*, Filippos Panagiotou, Jörg Lücke (2022).
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Cham. (online access)
*Joint first authorship
Source Code here.

Jakob Drefs, Enrico Guiraud, Jörg Lücke (2022).
Evolutionary Variational Optimization of Generative Models.
Journal of Machine Learning Research, 23(21):1-51. (online access)
Source Code here and here.

Pinned

  1. evo evo Public

    A NumPy package for Evolutionary Variational Optimization

    Python 6

  2. tvo tvo Public

    A PyTorch package for Truncated Variational Optimization.

    Python 1

Repositories

Showing 5 of 5 repositories
  • tvo Public

    A PyTorch package for Truncated Variational Optimization.

    Python 1 AFL-3.0 0 5 4 Updated Mar 1, 2024
  • evo Public

    A NumPy package for Evolutionary Variational Optimization

    Python 6 AFL-3.0 0 0 4 Updated Nov 3, 2023
  • .github Public
    0 0 0 0 Updated Aug 31, 2023
  • ecml2022 Public

    Source Code to reproduce experiments reported in ECML 2022 paper "Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents"

    Python 1 0 0 0 Updated Aug 31, 2023
  • tvutil Public

    Utilities developed and/or commonly used by the tvlearn community

    Python 0 AFL-3.0 0 0 0 Updated May 31, 2022

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