A Derivations

DenseNets and a bound of the Lipschitz for the activation functions. A.1 Derivation of Lipschitz constant K for the concatenation We know that a function f is K -Lipschitz if for all points v and w the following holds: d A.2 Derivation bounded Lipschitz Concatenated ReLU We define function: R! We have four different situations that can happen. For CIFAR10, the full i-DenseNets utilize 24.9M to utilize the 25.2M of Residual Flows. For ImageNet32, i-DenseNet utilizes 47.0M parameters to utilize the 47.1M of the Residual Flow.