CatDRX: a novel AI model for discovery of chemical catalysts

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
GitHub

ti2ni1m/Image-Generation-with-Conditional-Variational-Autoencoder-C-VAE-and-Conditional-GAN-C-GAN-

In this project, I aim to create a set of images of Kuzushiji Japanese characters via the Kuzushiji-49 dataset using 2 graphical models which are Conditional-Variational Autoencoder(C-VAE), and ...
IEEE

Leveraging Variational Autoencoders for Parameterized MMSE Estimation

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

Poisson Variational Autoencoder Modeling Count Data with Python.md

The Poisson Variational Autoencoder (PVAE) is a type of variational autoencoder specifically designed for modeling count data, such as word frequencies or event counts. It addresses the limitations of ...
IEEE

A Sentiment-Controllable Music Generation System Based on Conditional Variational Autoencoder

Abstract: Intelligent music generation is a significant application of artificial intelligence. To better achieve the function of video background music generation, finer-grained control is necessary ...
Frontiers

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung cancer. Furthermore, these diseases ...