IEEE

An Explainable AI Framework Integrating Variational Sparse Autoencoder and Random Forest for EEG-Based Epilepsy Detection

Abstract: Epilepsy is a medical condition characterized by sudden and frequent sensory disruptions which is commonly detected by electroencephalogram (EEG) analysis. However, analyzing these signals ...
GitHub

Official implementation of "Disentanglement with Factor Quantized Variational Autoencoders"

blocks: Consists of building blocks of the architecture. configs/{dataset_name}: Consists of model specific configuration files for each dataset. data: Consists of data loader files. decoders: ...
Phys.org

Physicists watch light drift in quantized steps for the first time

In physics, the classical "Hall effect," discovered in the late 19th century, describes how a transverse voltage is generated when an electric current is exposed to a perpendicular magnetic field.
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
IEEE

A Generative Model for Cetacean Whistles Using Variational Autoencoder and Mixture of Gaussians

Abstract: This paper proposes a tractable and compact generative model for cetacean whistle signals based on Variational Autoencoder (VAE) and mixture of Gaussians in underwater biomimetic ...