Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
The cpiVAE learns a shared latent representation across different proteomics platforms. The model consists of platform-specific encoders and decoders connected through a shared latent space, allowing ...
Abstract: As autonomous mobile robots begin to populate public spaces, it is becoming increasingly important for robots to accurately distinguish pedestrians and navigate safely to avoid collisions.
Reducio-VAE was developed to enable high compression ratio on videos, supporting efficient video generation. Existing 3D VAEs are generally extended from 2D VAE, which is designed for image generation ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback