78 citations · 510 across the 71 of their papers we have counts for
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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)…
A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots
Archit Gupta, Arvind Easwaran
Duckiebots are low-cost mobile robots that are widely used in the fields of research and education. Although there are existing self-driving algorithms for the Duckietown platform,…
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),…
Deadline-constrained Multi-resource Task Mapping and Allocation for Edge-Cloud Systems
Chuanchao Gao, Aryaman Shaan, Arvind Easwaran
In an edge-cloud system, mobile devices can offload their computation intensive tasks to an edge or cloud server to guarantee the quality of service or satisfy task deadline requir…