Bayesian optimization with adaptive surrogate models for automated experimental design

B Lei, TQ Kirk, A Bhattacharya, D Pati, X Qian… - Npj Computational …, 2021 - nature.com
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 …

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 …