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The COMPASS algorithm for OCTSP is introduced, which combines search with learning-accelerated routing by orchestrating parallel sub-solvers and can reach exact solutions in time exponential in cluster size rather than instance size.
Linear masking can lead to critical components being entirely omitted from dynamical models, but a new algebra-based scoring method recovers these components with significantly fewer coordinates.
Eliciting only the essential statistics from LLMs can dramatically enhance feature acquisition in complex clinical scenarios, outperforming traditional methods even in the toughest cases.
A generative model of human physiology not only beats existing clinical risk scores at predicting disease, but also accurately simulates the effects of clinical interventions, paving the way for personalized medicine.