Measures of Entropy from Data Using Infinitely Divisible Kernels

v1v2v3 (latest)

Measures of Entropy from Data Using Infinitely Divisible Kernels

11 November 2012

Luis G. Sanchez Giraldo

José C. Príncipe

ArXiv (abs)PDF HTML

Papers citing "Measures of Entropy from Data Using Infinitely Divisible Kernels"

12 / 62 papers shown

Title
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 90 8 0 21 Dec 2020
Modular-Relatedness for Continual Learning Ammar Shaker Shujian Yu Francesco Alesiani KELM CLL 46 2 0 02 Nov 2020
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders Yanjun Li Shujian Yu José C. Príncipe Xiaolin Li D. Wu DRL 58 7 0 13 Jul 2020
On the Information Plane of Autoencoders Nicolás I. Tapia P. Estévez 57 20 0 15 May 2020
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels Kristoffer Wickstrøm Sigurd Løkse Michael C. Kampffmeyer Shujian Yu José C. Príncipe Robert Jenssen 56 31 0 25 Sep 2019
Simple stopping criteria for information theoretic feature selection Shujian Yu José C. Príncipe 84 13 0 29 Nov 2018
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional Shujian Yu L. S. Giraldo Robert Jenssen José C. Príncipe 68 30 0 23 Aug 2018
The Deep Kernelized Autoencoder Michael C. Kampffmeyer Sigurd Løkse F. Bianchi Robert Jenssen L. Livi 64 18 0 19 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps Kristoffer Wickstrøm Michael C. Kampffmeyer Robert Jenssen UQCV 87 77 0 16 Jul 2018
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Príncipe 93 77 0 18 Apr 2018
Understanding Autoencoders with Information Theoretic Concepts Shujian Yu José C. Príncipe AI4CE 132 135 0 30 Mar 2018
Deep Kernelized Autoencoders Michael C. Kampffmeyer Sigurd Løkse F. Bianchi Robert Jenssen L. Livi 73 18 0 08 Feb 2017