Open AccessSparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Author(s) -
Luigi Antelmi,
Nicholas Ayache,
Philippe Robert,
Marco Lorenzi
Publication year - 2019
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - interpretability , autoencoder , computer science , latent variable , artificial intelligence , dropout (neural networks) , flexibility (engineering) , generative model , machine learning , joint (building) , channel (broadcasting) , synthetic data , data modeling , data mining , pattern recognition (psychology) , generative grammar , artificial neural network , mathematics , statistics , computer network , engineering , database , architectural engineering
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