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Mutual Information Neural Estimation.

Authors: Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Devon Hjelm - International Conference on Machine Learning, ICML 2018 cited by 598

Information theory andstatisticsInformation theory and statisticsAsymptotic evaluation ofcertain markov process…Asymptotic evaluation of certain markov process expectations for large time, IIMultilayer feedforwardnetworks are universal…Multilayer feedforward networks are universal approximatorsEstimation of mutualinformation using kerne…Estimation of mutual information using kernel density estimatorsEstimation of Entropyand Mutual InformationEstimation of Entropy and Mutual InformationThe IM algorithm: avariational approach to…The IM algorithm: a variational approach to Information MaximizationEstimating mutualinformationEstimating mutual informationFeature Selection Basedon Mutual Information…Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-RedundancyEstimating DivergenceFunctionals and the…Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk MinimizationDeep Learning FaceAttributes in the WildDeep Learning Face Attributes in the WildUnsupervisedRepresentation Learning…Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksGAN（GenerativeAdversarial Nets）GAN（Generative Adversarial Nets）Neural EntropicEstimation: A faster…Neural Entropic Estimation: A faster path to mutual information estimationArbitrary Talking FaceGeneration via…Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence LearningFederated AdversarialDomain AdaptationFederated Adversarial Domain AdaptationLearning DisentangledRepresentations via…Learning Disentangled Representations via Mutual Information EstimationMaximum-EntropyAdversarial Data…Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and RobustnessAdversarial Learning ofPrivacy-Preserving and…Adversarial Learning of Privacy-Preserving and Task-Oriented RepresentationsPre-training MolecularGraph Representation…Pre-training Molecular Graph Representation with 3D GeometryA Plug-in Method forRepresentation…A Plug-in Method for Representation Factorization in Connectionist ModelsA survey on Semi-, Self-and Unsupervised…A survey on Semi-, Self- and Unsupervised Techniques in Image ClassificationGradient-based BayesianExperimental Design for…Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower BoundsRethinking MinimalSufficient…Rethinking Minimal Sufficient Representation in Contrastive LearningOn the Estimation ofInformation Measures of…On the Estimation of Information Measures of Continuous DistributionsMutual InformationNeural Estimation.Mutual Information Neural Estimation.Earlier referencesFocus paperCiting papersOlderNewer

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