AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation

Wen Youpeng, Hongxiang Lin, Guo Yiju, Zhao Liang. AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Volume 12891 of Lecture Notes in Computer Science, pages 391-402, Springer, 2021. [doi]

@inproceedings{YoupengLYL21,
  title = {AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation},
  author = {Wen Youpeng and Hongxiang Lin and Guo Yiju and Zhao Liang},
  year = {2021},
  doi = {10.1007/978-3-030-86362-3_32},
  url = {https://doi.org/10.1007/978-3-030-86362-3_32},
  researchr = {https://researchr.org/publication/YoupengLYL21},
  cites = {0},
  citedby = {0},
  pages = {391-402},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12891},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86362-3},
}