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A single pre-trained transformer now solves matrix completion across causal inference, recommendation, and tabular imputation tasks by treating matrices natively.
Non-rigid 3D surface matching can finally scale without sacrificing intrinsic geometry, breaking the cubic-time barrier that previously made geodesic optimal transport intractable.
