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

The elaborately designed adversarial attacks for fixed-scale SR are scale-dependent, which will cause time-consuming and memory-consuming problems when applied to arbitrary-scale SR. To address this ...

Audio deepfakes pose significant threats, including impersonation, fraud, and reputation damage. To address these risks, audio deepfake detection (ADD) techniques have been developed, demonstrating ...

I encountered a reproducibility issue when exporting a PyTorch model to ONNX and running it with TensorRT in bfloat16 mode. Although the computation logic and operator mapping between PyTorch and ...

OTTAWA — A lawyer for Canadian diplomats and their families says he believes the mysterious ailments they suffered in Cuba were caused by a foreign adversary, despite a federal government report ...