Estimating Information Flow in Deep Neural Networks

12 October 2018

Papers citing "Estimating Information Flow in Deep Neural Networks"

6 / 6 papers shown

Title
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 24 12 0 24 May 2022
Usable Information and Evolution of Optimal Representations During Training Michael Kleinman Alessandro Achille Daksh Idnani J. Kao 21 13 0 06 Oct 2020
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation Ziv Goldfeld Kristjan Greenewald Yury Polyanskiy Jonathan Niles-Weed 21 64 0 30 May 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 17 12 0 19 May 2019
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 23 195 0 27 Feb 2018