Bayesian optimization with adaptive surrogate models for automated experimental design
Bayesian optimization (BO) is an indispensable tool to optimize objective functions that
either do not have known functional forms or are expensive to evaluate. Currently, optimal …
either do not have known functional forms or are expensive to evaluate. Currently, optimal …
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
M Yuhas, A Easwaran - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Learning enabled components (LECs), while critical for decision making in autonomous
vehicles (AVs), are likely to make incorrect decisions when presented with samples outside …
vehicles (AVs), are likely to make incorrect decisions when presented with samples outside …