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SMART redefines brain atlas construction by achieving state-of-the-art forecasting accuracy while maintaining interpretability and scalability in high-dimensional medical imaging.
Forget-set gradients, previously only used in uncertified heuristics, can now be harnessed for provably faster and more accurate machine unlearning.
