Jorge Gomez

Sep 1, 2023 | fis.tu-dresden.de | Jorge Gomez |Jorge Gómez |Deutsche Telekom Chair |Pit Hofmann |Frank H.P. Fitzek

Recent molecular communication (MC) research suggests machine learning (ML) models for symbol detection, avoiding the unfeasibility of end-to-end channel models. However, ML models are applied as black boxes, lacking proof of correctness of the underlying neural networks (NNs) to detect incoming symbols. This paper studies approaches to the explainability of NNs for symbol detection in MC channels.