Uncertainty Quantification in AI/ML
Published in IEEE CCNC 2023, 2023
Develop ML systems with probabilistic modeling that can quantify uncertainty in Wireless sensing applications. The work serves as a template to model uncertainty in predictions not only for WiFi sensing but for most wireless sensing applications ranging from WiFi to millimeter wave radar based sensing that utilizes AI/ML models.
Publication
“Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing” published in IEEE CCNC, 2023.
Probabilistic Modeling Framework
Recommended citation: Kachroo, A., et al. (2023). "Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing." IEEE CCNC, 2023.
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