13 citations · 18 across the 5 of their papers we have counts for
3 papers · 1 filter
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
Michael Yuhas, Arvind Easwaran
Learning enabled components (LECs), while critical for decision making in autonomous vehicles (AVs), are likely to make incorrect decisions when presented with samples outside of t…
Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder
Zahra Rahiminasab, Michael Yuhas, Arvind Easwaran
Out-of-distribution (OOD) detection, i.e., finding test samples derived from a different distribution than the training set, as well as reasoning about such samples (OOD reasoning)…
Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
Michael Yuhas, Daniel Jun Xian Ng, Arvind Easwaran
When machine learning (ML) models are supplied with data outside their training distribution, they are more likely to make inaccurate predictions; in a cyber-physical system (CPS),…