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 ...
This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...
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 ...
We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...
The last 25 years have seen significant advances in the modeling and mathematical analysis of fracture. However, the strongest mathematical results have been restricted to variational models that have ...
The rapid and effective islanding detection and disconnection of the microgrid are significant for preventing equipment from failure and safeguarding humanity’s safety. To address the drawbacks of ...
Introduction: Electromagnetic brain imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG), magnetoencephalography (MEG), and also from invasive ...
ABSTRACT: This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies ...
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