CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
This project demonstrates the use of a Variational AutoEncoder (VAE) to learn a latent space representation of simple synthetic data: black-and-white images of circles with varying radius, x, and y ...
SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
Abstract: Gliomas represent the most prevalent form of malignant brain tumors, with glioblastoma (GBM) classified as the most aggressive subtype and lower-grade gliomas (LGGs) showing a high ...
Abstract: Accurately identifying fault modes in track circuits is crucial for ensuring the safe and reliable operation of the equipment. However, in practical diagnostic processes, there is often an ...
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