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UMI-Bench 1.0 reveals that standardized real-world evaluations can dramatically improve the reliability of UMI-style robotic manipulation policies.
Tighter generalization bounds for MPGNNs reveal that adversarial robustness can be significantly improved by focusing on parameter sensitivity rather than hidden-width complexity.