Andriy Enttsel — accepted AI-conference papers

2026

Goal-Oriented Joint Source–Channel Coding: Distortion–Classification–Power Trade-off

Andriy Enttsel, Weichen Wang, Mauro Mangia, Deniz Gunduz

ICASSP 2026poster

Joint source-channel coding is a compelling paradigm when low-latency and low-complexity communication is required. This work proposes a theoretical framework that integrates classification and anomaly detection within the conventional signal reconstruction objective. Assuming a Gaussian scalar sour…

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2023

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors

Andriy Enttsel, Filippo Martinini, Alex Marchioni, Mauro Mangia, Riccardo Rovatti, Gianluca Setti

ICASSP 2023accepted

Anomaly Detection is a challenging task due to the limited knowledge about possible anomalies. This issue can be tackled by modeling anomalies through domain expertise or collecting sufficient anomalous data. However, some domains, such as monitoring systems, require detectors that are capable of de…

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