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cs.IT2024
Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions
Marko Tuononen, Ville Hautamäki
Mutual information provides a powerful, general-purpose metric for quantifying the amount of shared information between variables. Estimating normalized mutual information using a…
cs.LG2024★ 1 cited
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Marko Tuononen, Dani Korpi, Ville Hautamäki
We propose a novel method for interpreting neural networks, focusing on convolutional neural network-based receiver model. The method identifies which unit or units of the model co…