29 citations · 59 across the 6 of their papers we have counts for
6 papers
Cross-Validation Conformal Risk Control
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone +1
Conformal risk control (CRC) is a recently proposed technique that applies post-hoc to a conventional point predictor to provide calibration guarantees. Generalizing conformal pred…
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone +2
The dynamic scheduling of ultra-reliable and low-latency traffic (URLLC) in the uplink can significantly enhance the efficiency of coexisting services, such as enhanced mobile broa…
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…
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone +1
Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in communication networks are adaptation and monitoring. Adaptation refers to the nee…