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Mutual Information Estimation

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

Papers

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Showing 41–50 of 91 papers

TitleStatusHype
Improving Mutual Information Estimation with Annealed and Energy-Based BoundsCode0
Computing high-dimensional optimal transport by flow neural networksCode0
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
Theoretical Evaluation of Feature Selection Methods based on Mutual Information—0
Exploiting Style and Attention in Real-World Super-Resolution—0
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