Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Closed-form information-theoretic divergences for statistical mixtures
Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions
The Cauchy-Schwarz divergence for assessing situational information gain
Estimation of Entropy and Mutual Information
Multivariate Information Bottleneck
Jensen-Shannon divergence and Hilbert space embedding
Nonparametric estimation of the likelihood ratio and divergence functionals
Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions
The Similarity for Nominal Variables Based on F-Divergence
Information Theory and Statistical Mechanics Revisited
Investigation of lattice-free maximum mutual information-based acoustic models with sequence-level Kullback-Leibler divergence
On Measures of Entropy and Information
Learning Mixtures of Product Distributions Using Correlations and Independence
Mixture models, robustness, and sum of squares proofs
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
A global algorithm to estimate the expectations of the components of an observed univariate mixture
An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Mode-finding for mixtures of Gaussian distributions
An Information-Theoretic Definition of Similarity
Convolutional Neural Networks-based continuous speech recognition using raw speech signal
D–Q Impedance Based Stability Analysis and Parameter Design of Three-Phase Inverter-Based AC Power Systems
Information Theory, Inference, and Learning Algorithms
Empowering people to be healthier: public health nutrition through the Ottawa Charter
Stochastic simulation in systems biology