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Mutual Information Estimation

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

Papers

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Showing 51–75 of 91 papers

TitleStatusHype
Exponential Concentration for Mutual Information Estimation with Application to Forests—0
Fair Representation Learning using Interpolation Enabled Disentanglement—0
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Frustratingly Easy Transferability Estimation—0
Mutual Information Estimation as a Difference of Entropies for Unsupervised Representation Learning—0
Mutual information estimation for graph convolutional neural networks—0
Mutual Information Estimation via Normalizing Flows—0
Neural Topic Modeling with Deep Mutual Information Estimation—0
Nonparanormal Information Estimation—0
Novelty Detection via Contrastive Learning with Negative Data Augmentation—0
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
Theoretical Evaluation of Feature Selection Methods based on Mutual Information—0
Computing high-dimensional optimal transport by flow neural networksCode0
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHSCode0
DiME: Maximizing Mutual Information by a Difference of Matrix-Based EntropiesCode0
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal TransportCode0
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