A task-aware flow-based generative framework optimizes subsampling masks in compressed sensing, reporting SOTA PSNR of 25.17 dB at 5% rate on CelebA and 29.24 dB for 8x MRI on fastMRI.
Differentiable Fast Top-K Selection for Large-Scale Recommendation.arXiv preprint arXiv:2510.11472, 2025
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Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications
A task-aware flow-based generative framework optimizes subsampling masks in compressed sensing, reporting SOTA PSNR of 25.17 dB at 5% rate on CelebA and 29.24 dB for 8x MRI on fastMRI.