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Mutual Information Estimation

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

Papers

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Showing 51–60 of 91 papers

TitleStatusHype
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
Decomposed Mutual Information Estimation for Contrastive Representation Learning—0
Novelty Detection via Contrastive Learning with Negative Data Augmentation—0
Frustratingly Easy Transferability Estimation—0
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding—0
Rethinking InfoNCE: How Many Negative Samples Do You Need?—0
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