Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.

Researchers in Prof. Tong-Yi Zhang’s lab have introduced a spatial-adaptive active-learning workflow that significantly accelerates the search for highly durable OER catalysts, addressing one of the ...

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 ...

Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan Background: Microwave Doppler sensors, capable of detecting minute physiological movements, ...

Microsoft has extended Entra’s powerful access control capabilities to on-premises applications — but you’ll need to rid your network of NTLM to take advantage of adding cloud features to your Active ...

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...

In this paper, we study an important class of generative models, variational autoencoder (VAE) and conditional variational autoencoder (CVAE), to learn the abstract probability distribution of the ...

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. In a move that could dramatically reshape the landscape for rare ...

Following @Giulero suggestion, I will try to implement a Conditional Variational AutoEncoder to directly connect the input of the aerodynamic dataset (attitude and joint configurations) to the output ...