1 citations · 1 across the 3 of their papers we have counts for
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Post-Hoc Conformal Prediction for Reliable Wireless Communications
Xin Su, Meiyi Zhu, Osvaldo Simeone +1
Deploying artificial intelligence (AI) in high-stakes wireless applications such as autonomous transportation requires guarantees of reliable operation. Such guarantees can often b…
Reliable Narrowband Interference Detection via Backward Conformal Prediction
Xin Su, Meiyi Zhu, Osvaldo Simeone +2
Narrowband interference can severely degrade the performance of wireless links by concentrating significant power on a small portion of the channel. Machine learning detectors trai…
From High-Level Requirements to KPIs: Conformal Signal Temporal Logic Learning for Wireless Communications
Jiechen Chen, Michele Polese, Osvaldo Simeone
Softwarized radio access networks (RANs), such as those based on the Open RAN (O-RAN) architecture, generate rich streams of key performance indicators (KPIs) that can be leveraged…
Online Learning of Modular Bayesian Deep Receivers: Single-Step Adaptation with Streaming Data
Yakov Gusakov, Osvaldo Simeone, Tirza Routtenberg +1
Deep neural network (DNN)-based receivers offer a powerful alternative to classical model-based designs for wireless communication, especially in complex and nonlinear propagation…