arXiv 1903.073032019-03-18cs.LGstat.ML

M$^2$VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood

Bielefeld University（比勒费尔德大学）

Timo Korthals

备注：: Appendix for the IEEE FUSION 2019 submission on multi-modal variational Autoencoders for sensor fusion

英文摘要：

This work gives an in-depth derivation of the trainable evidence lower bound obtained from the marginal joint log-Likelihood with the goal of training a Multi-Modal Variational Autoencoder (M$^2$VAE).

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。