In this research paper, a loop closure detection method based on a variational autoencoder (VAE ... 2.1 Improvement of the objective function of the VAE network Inspired by Sikka et al. (2019), the ...

In this article, partly inspired by the work of Yaman et al., we present a machine learning workflow called Pair-Variational Autoencoders (PairVAE) that can enable cross-reconstruction and ...

With a well-trained conditional variational autoencoder, the conditional probability density function of the wind power could be estimated through the decoder network by sampling the latent random ...

To this end, we propose a novel multi-domain Variational Autoencoder (VAE ... Consequently, it is also a core objective of computational modeling approaches of cardiac anatomy and function to ...