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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
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation—0
Meta-Statistical Learning: Supervised Learning of Statistical Inference—0
InfoBridge: Mutual Information estimation via Bridge Matching—0
The Decoupling Concept Bottleneck Model—0
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Disentangled Noisy Correspondence Learning—0
Artifact Feature Purification for Cross-domain Detection of AI-generated Images—0
Mutual Information Estimation via Normalizing Flows—0
On regularized Radon-Nikodym differentiation—0
Subgraph Networks Based Contrastive Learning—0
On the Effectiveness of Hybrid Mutual Information Estimation—0
Mutual Information Estimation via f-Divergence and Data DerangementsCode0
Computing high-dimensional optimal transport by flow neural networksCode0
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression—0
Improving Mutual Information Estimation with Annealed and Energy-Based BoundsCode0
DiME: Maximizing Mutual Information by a Difference of Matrix-Based EntropiesCode0
Copula Density Neural EstimationCode0
Representation Learning with Information Theory for COVID-19 Detection—0
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
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective—0
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation—0
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