Jonathan Francis

Transformer-based models exhibit stark differences in handling distribution shifts, revealing vulnerabilities that could jeopardize autonomous driving safety.

Automated scenario profiling could revolutionize safety assessments in autonomous driving by enabling rapid integration of diverse datasets.

GaP outperforms traditional methods in variational automation tasks by leveraging directed computation graphs for real-time adaptability and improved success rates.