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Mutual Information Estimation

To estimate mutual information from samples, specially for high-dimensional variables.

Papers

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Showing 26–50 of 91 papers

TitleStatusHype
Mutual Wasserstein Discrepancy Minimization for Sequential RecommendationCode1
DiME: Maximizing Mutual Information by a Difference of Matrix-Based EntropiesCode0
Copula Density Neural EstimationCode0
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative RepresentationsCode3
Improving Adversarial Robustness via Mutual Information EstimationCode1
Representation Learning with Information Theory for COVID-19 Detection—0
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
Mutual information estimation for graph convolutional neural networks—0
A Perspective on Neural Capacity Estimation: Viability and Reliability—0
Neural Topic Modeling with Deep Mutual Information Estimation—0
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection—0
Compressed Predictive Information Coding—0
Graph Representation Learning via Aggregation EnhancementCode1
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective—0
Density Ratio Estimation via Infinitesimal ClassificationCode1
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation—0
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation—0
Mutual Information Estimation as a Difference of Entropies for Unsupervised Representation Learning—0
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization—0
Causal Order Identification to Address Confounding: Binary Variables—0
Fair Representation Learning using Interpolation Enabled Disentanglement—0
Featurized Density Ratio EstimationCode1
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre OptimizationCode1
Decomposed Mutual Information Estimation for Contrastive Representation Learning—0
Novelty Detection via Contrastive Learning with Negative Data Augmentation—0
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