* Accepted at AAAI-21. An interpretable and differentiable dependence
(or independence) measure that can be used to 1) train deep network under
covariate shift and non-Gaussian noise; 2) implement a deep deterministic
information bottleneck; and 3) understand the dynamics of learning of CNN.
Code available at https://bit.ly/AAAI-dependence Access Paper or Ask Questions