In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent ...

To speed up the optimization process, we transform the corresponding problem into a lower-dimensional latent space learned by a variational autoencoder. This is trained on a total of 6839 different 2D ...

Variational Inference for Deep State-Space Model This repository explores latent dynamics modeling for MDP/PODMP with pixel observations using deep state-space models.

Schematic diagram of the Space-Air-Ground-Sea integrated eco-environment monitoring network. (IMAGE) Chinese Society for Environmental Sciences ...

Latent Space Topology Evolution in Multilayer Perceptrons This repository provides tools for analysing the topological structure of neural network latent spaces using techniques from computational ...