GitHub

SrisuryaTeja/Variational-Auto-Encoder

This repository presents a clean and concise implementation of a Variational Autoencoder (VAE) using PyTorch. VAEs are powerful generative models capable of learning a compressed, continuous latent ...
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 ...
GitHub

Shaiq1217/Variational-Auto-Encoder-for-Underwater-acoustics-channel-impusle-response

Channel Impulse Response (CIR) modeling is crucial in underwater acoustics for understanding how signals propagate through the medium. This repository provides an implementation of a Variational ...
IEEE

Research on recommendation algorithm combining item social regularization and variational encoder

Abstract: Variational autoencoder is a very concise and effective unsupervised learning method, which can achieve excellent performance when applied in the field of recommendation systems. At present, ...
IEEE

VPIES: Variational Privileged Information Encoder as Scaffold for Legged Locomotion Learning

Abstract: Legged robots face significant challenges in complex terrains due to partial observability. While teacher-student frameworks address this through imitation, they often cause representation ...
C&EN

Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The two terms in this objective formulation achieve dual ...