AINeutralarXiv – CS AI · 6h ago6/10
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Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
Researchers demonstrate a flow-based generative model that optimizes sampling strategies for compressed sensing, achieving state-of-the-art reconstruction results using only 5% of measurements. The framework combines task-aware learning with flow matching to enhance performance across image classification, reconstruction, and MRI acceleration applications.