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Mutual Information Estimation

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

Papers

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Showing 1–50 of 91 papers

TitleStatusHype
Closed-Form Information Capacity of Canonical Signaling ModelsCode0
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation—0
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
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language ModelsCode1
Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionCode2
On the Properties and Estimation of Pointwise Mutual Information ProfilesCode1
MINDE: Mutual Information Neural Diffusion EstimationCode1
Rethinking Negative Pairs in Code SearchCode1
On regularized Radon-Nikodym differentiation—0
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and MaximizationCode1
Subgraph Networks Based Contrastive Learning—0
On the Effectiveness of Hybrid Mutual Information Estimation—0
Assessing Neural Network Representations During Training Using Data Diffusion SpectraCode1
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
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
Mutual Wasserstein Discrepancy Minimization for Sequential RecommendationCode1
DiME: Maximizing Mutual Information by a Difference of Matrix-Based EntropiesCode0
Copula Density Neural EstimationCode0
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative RepresentationsCode3
Improving Adversarial Robustness via Mutual Information EstimationCode1
Representation Learning with Information Theory for COVID-19 Detection—0
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
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
Graph Representation Learning via Aggregation EnhancementCode1
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective—0
Density Ratio Estimation via Infinitesimal ClassificationCode1
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation—0
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
Featurized Density Ratio EstimationCode1
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre OptimizationCode1
Decomposed Mutual Information Estimation for Contrastive Representation Learning—0
Novelty Detection via Contrastive Learning with Negative Data Augmentation—0
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