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VAE based Text Style Transfer with Pivot Words Enhancement Learning
Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content. -
Predicted perovskites dataset
A dataset of 10,790 predicted perovskites, along with their 5 most similar experimental materials, used to test the effectiveness of the VAE model. -
Experimental materials dataset
A dataset of 2104 experimental materials, including their crystal structure information, used to train a Variational Autoencoder (VAE) model. -
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
Probabilistic non-negative matrix factorisation using a variational autoencoder -
VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detec...
Time series anomaly detection method based on VAE with re-Encoder and latent constraint network -
Auto-encoding variational Bayes
Auto-encoding variational Bayes -
DEEPA: A DEEP NEURAL ANALYZER FOR SPEECH AND SINGING VOCODING
The proposed neural analyzer, DeepA, that is based on a VAE architecture. -
Constructing the Matrix Multilayer Perceptron and its Application to the VAE
The dataset used in this paper is a synthetic dataset for learning SPD matrices using the matrix multilayer perceptron (mMLP) model. -
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent ...
Real-world databases are complex and usually require dealing with heterogeneous and mixed data types making the exploitation of shared information between views a critical...
