On the Capacity of Faster-than-Nyquist MIMO Transmission with CSI at the Receiver. - Michael Yuhas; Yi Feng; Jan Bajcsy (GLOBECOM Workshops, 2015)

Embedded out-of-distribution detection on an autonomous robot platform. - Michael Yuhas; Yeli Feng; Daniel Jun Xian Ng; Zahra RahimiNasab; Arvind Easwaran (CoRR, 2021)

Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder. - Zahra RahimiNasab; Michael Yuhas; Arvind Easwaran (ICSRS, 2022)

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems. - Michael Yuhas; Daniel Jun Xian Ng; Arvind Easwaran (RTCSA, 2022)

Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot. - Michael Yuhas; Arvind Easwaran (CoRR, 2022)

Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems. - Michael Yuhas; Arvind Easwaran (ITSC, 2023)

Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment. - Aditya Bansal; Michael Yuhas; Arvind Easwaran (RTCSA, 2024)

Interpretable Latent Space for Meteorological Out-of-Distribution Detection via Weak Supervision. - Suman Das; Michael Yuhas; Rachel Koh; Arvind Easwaran (ACM Trans. Cyber Phys. Syst., 2024)

Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation. - Mohit Prashant; Arvind Easwaran; Suman Das; Michael Yuhas (AAAI, 2025)

CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving. - Xinwei Gao; Arambam James Singh; Gangadhar Royyuru; Michael Yuhas; Arvind Easwaran (AAMAS, 2025)

Toward state-aware scheduling of machine-learning workloads. - Michael Yuhas; Arvind Easwaran (Real Time Syst., 2025)