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Found 4 papers, 2 papers with code
Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers
Our results show the efficacy of the proposed approach in identifying and handling system-level anomalies, outperforming methods such as prediction error-based detection, and ensembling, thereby enhancing the overall safety and robustness of autonomous systems.
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
Our approach blends simulation-based analysis with HJ reachability methods to compute an approximation of the backward reachable tube (BRT) of the system, i. e., the set of unsafe states for the system under vision-based controllers.
Multiple Style-Transfer in Real-Time
The original style transfer formulation used a weighted combination of VGG-16 layer activations to achieve this goal.
A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks
We live in an interconnected world where network valued data arises in many domains, and, fittingly, statistical network analysis has emerged as an active area in the literature.
