2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
NeurIPS 2020poster
Learning from different data types is a long-standing goal in machine learning research, as multiple information sources co-occur when describing natural phenomena. However, existing generative models that approximate a multimodal ELBO rely on difficult or inefficient training schemes to learn a joi…