1. Entropy and mutual information in models of deep neural networks;gabrié,2018
2. On the convergence of eigenspaces in kernel principal component analysis;zwald,0
3. Understanding individual neuron importance using information theory;liu,2018
4. Wasserstein Continuity of Entropy and Outer Bounds for Interference Channels
5. Opening the black box of deep neural networks via information;shwartz-ziv,2017