This study led to the development of a variational autoencoder (VAE) for estimating the chronological age of subjects using feature values extracted from their teeth. Further, it determined how given ...

VAE（Variational AutoEncoder）は、2013年の論文「Auto-Encoding Variational Bayes」（変分ベイズ自動エンコーディング）の中で発表されたデータ生成の手法を使ったモデルの名前です。 オランダにあるアムステルダム大学のDiederik P KingmaとMax Wellingは、彼らの手法をAEVB ...

As a class of biologically active molecules with significant immunomodulatory and anti-inflammatory effects, anti-inflammatory peptides have important application value in the medical and ...

※現在、記事作成中のため、ファクトチェックができていない部分がありますので、ご了承ください。 本記事では、初学者の方が理解に苦しみがちな「変分オートエンコーダ（Variational Autoencoder、以下VAE）」について、理論的背景からTensorFlowによる ...

Batch normalization and dropout for stability Mixed precision training for efficiency Learning rate scheduling and gradient clipping β-VAE support for disentangled representations ...

This project presents a comprehensive implementation of a Variational Autoencoder system designed for unsupervised anomaly detection in high-dimensional datasets. The implementation emphasizes ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Abstract: This study introduces a novel approach that combines a variational autoencoder and Bayesian optimization to accelerate the simultaneous parameter and topology optimization of interior ...

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...