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Mutual Information Estimation

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

Papers

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Showing 61–70 of 91 papers

TitleStatusHype
On Information Plane Analyses of Neural Network Classifiers -- A Review—0
On regularized Radon-Nikodym differentiation—0
On the Effectiveness of Hybrid Mutual Information Estimation—0
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding—0
Representation Learning with Information Theory for COVID-19 Detection—0
Rethinking InfoNCE: How Many Negative Samples Do You Need?—0
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective—0
Adaptive Estimators Show Information Compression in Deep Neural Networks—0
Subgraph Networks Based Contrastive Learning—0
The Decoupling Concept Bottleneck Model—0
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