Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...

Abstract: Autoencoder models of source code are an emerging alternative ... that can be derived with an Abstract Syntax Tree parser. We propose a structured Variational Auto-Encoder based on TreeLSTM ...

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 ...

VAE.ipynb: This notebook guides the user through the process of preparing the dataset, training the Variational Autoencoder model, and evaluating its performance. It includes steps for data loading, ...

To tackle this problem, we present a long short-term memory-based adversarial variational autoencoder (LSTM-AVAE) framework for subject-invariant mTBI feature extraction. In the proposed model, first, ...