Offline Learning Enables Bus Holding Without Service Exploration
Offline-GMAC synthesizes holding interventions from logged GPS trajectories and supplies a 1-Wasserstein distributional bound without probing active bus service.
Offline-GMAC synthesizes holding interventions from logged GPS trajectories and supplies a 1-Wasserstein distributional bound without probing active bus service.
CAP-DIR combines contours, dose, clinical text, and prior deformation features to improve contour acceptability and reduce dose-mapping error.
Helium-reduced aerosol injection suppresses background by 80%, enabling a 3.8-nm three-dimensional PS I density from 32,788 single-particle diffraction patterns.
A curvature-first algorithm and reuse-aware lower bounds match total derivative complexity at near ε⁻³ + γ⁻³ scaling.
A 40 TB, 19,332-acquisition corpus packages raw channel signals, acquisition metadata, and reconstructions so researchers can process heterogeneous ultrasound data selectively.
A living benchmark built with 250+ industry experts tests verifiable professional workflows and finds average full-task pass rates below 1% on its hardest tier.
Exactly flat gates turn a scalar convex–concave chain into a hard instance, matching the known $2/(3p-1)$ higher-order exponent up to logarithmic factors.
A 914-case benchmark tests 12 models across four care levels, showing that conversational triage trades less over-triage for more under-triage.
Masked-autoencoder pre-training, disease-robust cardiac-frame gating, and transformer pooling produce study-level CHD predictions without clinician-selected frames.
Random-line Hessian estimates and a dyadic gradient tracker attain the minimax $\widetilde{\Theta}(\epsilon^{-3}+\gamma^{-5})$ oracle rate without the earlier mixed tolerance cost.