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MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes
In the training stage, the motion prediction task under differentiated scenes is abstracted as a multi-task learning problem, an evolutionary algorithm is designed to encourage the network search of the optimal parameters for each scene while sharing common knowledge between different scenes.
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for generative sampling.
A Fast MR Fingerprinting Simulator for Direct Error Estimation and Sequence Optimization
During optimization, the spatial response function is independent of sequence design and does not need to be recalculated.
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