前回は、連続潜在変数とエンコーダ・デコーダについて解説しました。変分オートエンコーダの論文の図1の各変数の意味や2つのDAGの存在などを理解しました。 論文：Auto-Encoding Variational Bayesの図1 今回は、変分オートエンコーダにおける確率変数の関係 ...

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 ...

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 ...

Beijing Zhongke Journal Publising Co. Ltd. Music generation is a key use of AI for arts, and is arguably one of the earliest forms of AI art. However, contemporary generative music models rely ...

Abstract: Aiming at the challenges of current time series data generation and the slow speed of the generation framework based on generative adversarial networks, we propose a novel architecture for ...

Long non-coding RNAs (lncRNAs) interact with proteins, influencing cell growth, differentiation, and disease onset. Despite significant advancements in computational methods, current approaches rely ...

A VAE architecture consists of 1) an encoder which encodes training data into 2) a multi-dimensional latent space which is used by 3) a decoder which decodes data from the latent space to generate ...