Abstract: Preference-based reinforcement learning (PbRL) enables agents to learn from human feedback without explicit reward engineering. However, existing methods rely on simple MLP architectures ...

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 ...

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 ...

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 ...

VAEはVariational Autoencoderの略で、生成モデルの1つです。VAEは、潜在空間と呼ばれる低次元の空間を用いて、高次元の入力データを学習します。 VAEは、通常のオートエンコーダーと同様に、エンコーダーとデコーダーから構成されます。エンコーダーは、入力 ...

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 ...

Abstract: Graphs effectively model pairwise interactions but are in-adequate for capturing the complex multi-entity interactions common in fields like biochemistry, social networks, and trade dynamics ...

description [ICLR 2026][Medical Imaging][molecular dynamics] PVB (Pretrained Variational Bridge) unifies the training objectives of single-structure pretraining and paired-trajectory fine-tuning via ...