Yuan Shen

Synthetic data can enhance federated learning for clinical risk prediction, achieving robust performance even in highly fragmented data environments.

Cortex outperforms traditional models by enabling zero-shot execution of complex long-horizon tasks, bridging the gap between high-level planning and low-level execution.

Guaranteed uncertainty bounds in SLAM are now tractable and provable, even for full pipelines, thanks to a novel polytopic representation.