Abstract for the talk on 23.07.2019 (11:40 h)Deep Learning Summer Seminar
Pradeep Kumar Banerjee (MPI MIS, Leipzig)
On neural network based estimators of the mutual information
The mutual information is a fundamental quantity that measures the total amount of dependence between two random variables. Estimating the mutual information from finite data samples can be challenging in practice. In this introductory talk, I will briefly review some trainable neural estimators of the mutual information and discuss an application in relation to the analysis of learning in deep neural networks.