29 citations · 59 across the 6 of their papers we have counts for
3 papers · 1 filter
Calibrating AI Models for Wireless Communications via Conformal Prediction
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone +1
When used in complex engineered systems, such as communication networks, artificial intelligence (AI) models should be not only as accurate as possible, but also well calibrated. A…
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone +1
AI tools can be useful to address model deficits in the design of communication systems. However, conventional learning-based AI algorithms yield poorly calibrated decisions, unabl…
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone
Conventional frequentist learning is known to yield poorly calibrated models that fail to reliably quantify the uncertainty of their decisions. Bayesian learning can improve calibr…