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Oak Ridge National Lab7mon
Convolutional Variational Autoencoder-based Unsupervised Learning for Power Systems Faults
A Convolutional Variational Autoencoder (CVAE) was developed for this purpose. We demonstrate the efficacy of our approach using the transient data generated from the simulations. The simulation data ...
archive8mon
Development of a conditional variational autoencoder for handwritten digit recognition
An illustration of a magnifying glass. An illustration of a magnifying glass.
GitHub1y
conditional-variational-autoencoder
This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples. すかすかアニメボカロデータセット。1st anime vocal dataset.
IEEE2y
Conditional Variational Autoencoder Informed Probabilistic Wind Power Curve Modeling
Abstract: In this article, a conditional variational autoencoder based method is proposed for the probabilistic wind power curve modeling task. To advance the modeling performance, the latent random ...
Frontiers2y
Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization
In addition, we incorporate conditional VAE (cVAE ... The considered models are a simple autoencoder (AE), a variational autoencoder (VAE), a supervised VAE (SVAE), and an adversarial variational ...