Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models

Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer. Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 11565-11576, 2021. [doi]

@inproceedings{ChenISK21,
  title = {Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models},
  author = {Phil Chen and Masha Itkina and Ransalu Senanayake and Mykel J. Kochenderfer},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/60243f9b1ac2dba11ff8131c8f4431e0-Abstract.html},
  researchr = {https://researchr.org/publication/ChenISK21},
  cites = {0},
  citedby = {0},
  pages = {11565-11576},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}