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

Quaternion Vector Quantized Variational Autoencoder

Abstract: Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...
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

MMO-VAE: Variational AutoEncoder with Mask-Guided Multi-Objective Optimization for de novo Drug Design

This repository contains the implementation of MMO-VAE, a Variational AutoEncoder (VAE) with mask-guided multi-objective optimization for de novo drug design. Implements KLD Sigmoid Annealing and ...
Nanowerk

CatDRX: a novel AI model for discovery of chemical catalysts

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...
Hosted on MSN

Novel AI platform accelerates discovery of chemical catalysts for industry

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...