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 ...

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 ...

These variants are based on multiple code transformation approaches, such as changing data structures, wrapping or unwrapping code in functions, adjusting loop bounds, etc. The team proposes an ...

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 ...