We propose a personalized car-following strategy framework based on a one-dimensional convolutional variational autoencoder (conVAE) and mildly conservative Q-learning (MCQ). The conVAE extracts ...

self.fc_mu = nn.Linear(64 * 25 * 25, 256) # Output: 256 self.fc_logvar = nn.Linear(64 * 25 * 25, 256) # Output: 256 ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

Dr. Yoginath is a Research Scientist in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. He started his multi-disciplinary research endeavors after joining ORNL in 2003.

The encoder architecture consists of multiple fully connected layers, which gradually reduce the dimensionality of the input structural data to a 3D latent space. The model is trained using ...