Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation | Paper Citation Record

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This paper cites Generalized energy based models.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Generalized energy based models

Reference 1

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This paper cites Arellano-Valle, Javier Contreras-Reyes, and Marc Genton.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Arellano-Valle, Javier Contreras-Reyes, and Marc Genton

Reference 2

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This paper cites Mutual information neural estimation.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Mutual information neural estimation

Reference 3

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This paper cites Berrett, Richard J.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Berrett, Richard J

Reference 4

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This paper cites Mutual information estimation via normalizing flows.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Mutual information estimation via normalizing flows

Reference 5

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This paper cites Information bottleneck analysis of deep neural networks via lossy compression.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Information bottleneck analysis of deep neural networks via lossy compression

Reference 6

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Neural ordinary differential equations

Reference 8

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This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 9

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This paper cites Neural mutual information estimation with vector copulas.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Neural mutual information estimation with vector copulas

Reference 10

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This paper cites Density ratio estimation via infinitesimal classification.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Density ratio estimation via infinitesimal classification

Reference 11

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Cover and Joy A

Reference 12

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This paper cites Beyond normal: On the evaluation of mutual information estimators.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Beyond normal: On the evaluation of mutual information estimators

Reference 13

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This paper cites On the properties and estimation of pointwise mutual information profiles.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation On the properties and estimation of pointwise mutual information profiles

Reference 14

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This paper cites Flow-based variational mutual information: Fast and flexible approximations.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Flow-based variational mutual information: Fast and flexible approximations

Reference 15

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This paper cites Normalizing flows for conditional independence testing.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Normalizing flows for conditional independence testing

Reference 17

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This paper cites Vector copulas.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Vector copulas

Reference 18

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This paper cites MINDE : Mutual information neural diffusion estimation.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation MINDE : Mutual information neural diffusion estimation

Reference 19

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Latent abstractions in generative diffusion models

Reference 20

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This paper cites Estimating mutual information for discrete-continuous mixtures.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Estimating mutual information for discrete-continuous mixtures

Reference 21

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This paper cites Copula modeling for discrete random vectors.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Copula modeling for discrete random vectors

Reference 22

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Goldfeld , K

Reference 23

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Klein, and Peng Yin

Reference 25

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This paper cites Learning deep representations by mutual information estimation and maximization.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Learning deep representations by mutual information estimation and maximization

Reference 26

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This paper cites Time series feature selection method based on mutual information.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Time series feature selection method based on mutual information

Reference 27

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This paper cites Infobridge: Mutual information estimation via bridge matching, 2025.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Infobridge: Mutual information estimation via bridge matching, 2025

Reference 28

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Auto-Encoding Variational Bayes

Reference 29

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Unresolved cited work

Reference 30

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Mutual information estimation via \ f\ -divergence and data derangements

Reference 33

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Formal limitations on the measurement of mutual information

Reference 36

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Existence and uniqueness of monotone measure-preserving maps

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Estimating divergence functionals and the likelihood ratio by convex risk minimization

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation A neural difference-of-entropies estimator for mutual information, 2025

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Pedregosa, G

Reference 42

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Polyanskiy and Y

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation On variational bounds of mutual information

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Telescoping Density-Ratio Estimation

Reference 45

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation U-Net: Convolutional Networks for Biomedical Image Segmentation

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Understanding the limitations of variational mutual information estimators

Reference 48

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Feature selection based on mutual information

Reference 50

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Rubenstein, Sylvain Gelly, and Mario Lucic

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Representation Learning with Contrastive Predictive Coding

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Diffusers: State-of-the-art diffusion models

Reference 54

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Information theoretic text-to-image alignment

Reference 55

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation RFMI : Estimating mutual information on rectified flow for text-to-image alignment

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Problems Inform

Reference 57

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Moddemeijer , keywords =

Reference 58

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Existence and uniqueness of monotone measure-preserving maps , volume =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Unresolved cited work

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Unresolved cited work

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation and Thomas, Joy A

Reference 62

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation IEEE Transactions on Information Theory , volume=

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Mutual Information Is Copula Entropy , journal =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation and Contreras-Reyes, Javier and Genton, Marc , year =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation 2013 , eprint=

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Unresolved cited work

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Feature selection based on mutual information , year=

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Tony Cai and Tengyuan Liang and Harrison H

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , url =

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This paper cites Nonparametric independence testing via mutual information , volume =.

Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Nonparametric independence testing via mutual information , volume =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Estimating Mutual Information for Discrete-Continuous Mixtures , url =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation ITM web of conferences , volume=

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics , pages =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Estimating Information Flow in Deep Neural Networks

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation Proceedings of the 36th International Conference on Machine Learning , pages =

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Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets

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