Random driving on a 78-qubit processor reveals controllable prethermal plateau

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...
IEEE

3-D Seismic Random Noise Attenuation via Self-Supervised Conditional Diffusion Model

Abstract: Effective noise suppression and data quality enhancement are critical in seismic data processing. Over the years, many traditional and deep learning (DL) methods have been proposed and ...
IEEE

Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI

Abstract: Multiple Sclerosis (MS) is a chronic and autoimmune disease that causes lesions in the central nervous system. It is diagnosed based on accurate identification and segmentation of lesions in ...
GitHub

GraphAny: Fully-inductive Node Classification on Arbitrary Graphs

GraphAny is a fully-inductive model for node classification. A single trained GraphAny model performs node classification tasks on any graph with any feature and label spaces. Performance-wise, ...