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Harbin Institute of Technology
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FS-JEPA redefines how we optimize KANs by predicting structured edge function signatures, resulting in a significant boost in medical image segmentation performance.
Unified image restoration methods can now be rigorously compared across real-world conditions, with 20 teams showcasing innovative solutions that push the boundaries of restoration accuracy.
Discrete diffusion, with carefully designed transition matrices for commands and parameters, unlocks superior CAD generation compared to continuous diffusion baselines.
