inc42

What Are Variational Autoencoders? Here’s All You Need to Know

Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...
note

VAEとは？AI画像生成の背後にある技術

画像生成AIにおける「VAE（変分オートエンコーダ）」について、深く掘り下げていきます。VAEは、AIが新しい画像を生成する際に非常に重要な役割を果たす技術です。本記事では、初心者でも理解しやすいようにVAEを解説し、画像生成のプロセスをわかり ...
IEEE

VCFGAN: A Two-stage Collaborative Filtering Framework based on Variational Autoencoders and ...

Abstract: Deep generative models, such as Generative Adversarial Networks (GAN) and Variational Autoencoders (VAE), are widely used in collaborative filtering. They usually learn users’ preferences ...
IEEE

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple ...

Abstract: In the context of histological image classification, Multiple Instance Learning (MIL) methods only require labels at Whole Slide Image (WSI) level, effectively reducing the annotation ...
note

Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders

https://arxiv.org/abs/2302.02555人工知能やデータ解析技術を駆使して材料開発の効率化を図るマテリアルズ・インフォマティクス ...
GitHub

Tutorial on Variational Autoencoders

Generative Modeling is a branch of machine learning that focuses on creating models representing distributions of data, denoted as $P(X)$. $X$ represents the data ...