GitHub

A self-supervised clustering method combining adversarial autoencoders with cross-attention-based graph convolutional networks (GCN) for cell type identification in scRNA-seq ...

The code runs under Python 3.9.20 and Pytorch 2.3.1+cu121. Create a PyTorch environment and install required packages, such as "numpy", "pandas", "scikit-learn ...
IEEE

Normal-Faulty Adversarial Bridging Health Assessment for Rolling Bearing Without Prior Faults

Abstract: In many real-world industrial scenarios, health assessment of bearings with no prior faults (BNFs) is hindered by label-insufficient and sample-insufficient problem. To address this issue, ...
GitHub

Synonymous Variational Inference for Perceptual Image Compression

This paper proposes Synonymous Variational Inference, a novel variational inference that first theoretically explains the core reason for the divergence term’s ...
IEEE

Cloud Adversarial Example Generation for Remote Sensing Image Classification

Abstract: Most existing adversarial attack methods for remote sensing images merely add adversarial perturbations or patches, resulting in visually unnatural modifications. Clouds are common ...
Hosted on MSN

'Is Russia A True Adversary?': Pete Hegseth Reveals His Allegiance, Refuses To Acknowledge Putin As The Enemy During Hearing

During a Senate Armed Services Committee hearing several weeks ago, Congresswoman Marilyn Strickland asked Defense Secretary Pete Hegseth if he thinks Russia is a "true adversary." Hegseth's answer ...