13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.RO2022★ 4 cited
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…
cs.LG2022★ 1 cited
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)…
cs.RO2021★ 13 cited
Embedded out-of-distribution detection on an autonomous robot platform
Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng +2
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs ar…