In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoencoder models the ...

Reference implementation for a variational autoencoder in TensorFlow and PyTorch. I recommend the PyTorch version. It includes an example of a more expressive variational family, the inverse ...

In this work, we propose a joint coding-modulation (JCM) framework for digital semantic communications by using variational autoencoder (VAE). Our approach learns the transition probability from ...

Xu, H. (2018) Generate Faces Using Ladder Variational Autoencoder with Maximum Mean Discrepancy (MMD). Intelligent Information Management, 10, 108-113. doi: 10.4236/iim.2018.104009. Cited by [1] ...

Architecture firm positions The AIA Compensation & Benefits Report is the industry’s most comprehensive resource on salary and compensation trends. Excerpted here from the 2023 report are position ...

In this paper, we propose a novel model, multi-view variational autoencoder with the product of expert (MVAE-PoE) for proximal femoral strength prediction, as shown in Figure 1. The proposed MVAE-PoE ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...