13 citations · 18 across the 5 of their papers we have counts for
3 papers · 1 filter
Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot
Michael Yuhas, Arvind Easwaran
In a cyber-physical system such as an autonomous vehicle (AV), machine learning (ML) models can be used to navigate and identify objects that may interfere with the vehicle's opera…
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),…