Scientific Research Publishing

A Hybrid CNN-LSTM Variational Autoencoder for Treatment Response Prediction in Synthetic Psychiatric Data ()

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
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 ...
University of Arkansas

AIMRC Seminar: How the Microbiome Shapes Mental Health and Future Therapies

The Arkansas Integrative Metabolic Research Center will host Aranyak Goswami, an assistant professor of computational biology with the U of A System Division of Agriculture, at 10:45 a.m. on Wednesday ...
GitHub

A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder (AVE)

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 ...
Science Daily

AI unravels the hidden communication of gut microbes

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 ...
IEEE

Latent Space Bayesian Parameter Topology Optimization of Permanent Magnet Synchronous Motors via a Variational Autoencoder

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 ...
wpi.edu

Professor Chris Larsen Receives a 3-Year Grant to Develop New Variational Methods for Fracture Evolution

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 ...
C&EN

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos ...

Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahçeşehir University, Istanbul 34349, Turkey Lab for Innovative Drugs (Lab4IND), ...
News Medical

Bayesian neural networks advance understanding of gut microbe metabolism

Gut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, as are the ways in which they interact with the body's chemistry and each ...
IEEE

Deep Variational Autoencoder Based Parameter Learning of Bayesian Network with Multiple Latent Variables

Abstract: Intelligent systems could be increasingly powerful by applying probabilistic inferences over the dependence relations among observed and latent variables, which could be represented by the ...
Frontiers

An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning

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 ...