Lightly Supervised Machine Learning for Wireless Signals
Josh Sanz [2024]

When do machine learning models generalize well? A signal-processing perspective
Vignesh Subramanian [2022]

Learning from an unknown environment
Vidya Muthukumar [2020]

Real-time Communication Systems For Automation Over Wireless: Enabling Future Interactive Tech
Vasuki Narasimha Swamy [2018]

A quantitative approach to wireless spectrum regulation
Kate Harrison [2015]

Active systems with uncertain parameters: an information-theoretic perspective
Gireeja Ranade [2014]

Building trust into light-handed regulations for cognitive radio
Kristen Ann Woyach [2013]

Information Flow in Linear Systems
Se Yong Park [2013]

The impact of causality on information-theoretic source and channel coding problems
Harikrishna R Palaiyanur [2011]

Actions can speak more clearly than words
Pulkit Grover [2010]

Maximizing available spectrum for cognitive radios
Shridhar Mubaraq Mishra [2009]

Spectrum Sharing by Cognitive Radios: Opportunities and Challenges
Rahul Tandra [2009]

Streaming source coding with delay
Cheng Chang [2007]