MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets.

Python Submitted 14 March 2025Published 05 June 2025
Review

Editor: @osorensen (all papers)
Reviewers: @rudraprsd (all reviews), @maruti-iitm (all reviews), @powerfulbean (all reviews)

Authors

Agathe Senellart (0009-0000-3176-6461), Clément Chadebec, Stéphanie Allassonnière

Citation

Senellart et al., (2025). MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets.. Journal of Open Source Software, 10(110), 7996, https://doi.org/10.21105/joss.07996

@article{Senellart2025, doi = {10.21105/joss.07996}, url = {https://doi.org/10.21105/joss.07996}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {110}, pages = {7996}, author = {Agathe Senellart and Clément Chadebec and Stéphanie Allassonnière}, title = {MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets.}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Pytorch Variational Autoencoders Multimodality Missing data

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066