Image de couverture de livre

Mutual Information Estimation via Normalizing Flows

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Butakov, Ivan, Tolmachev, Alexander, Malanchuk, Sofia, Neopryatnaya, Anna, Frolov, Alexey
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Information Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
par: Butakov, Ivan, et autres
Publié: (2023)

FMMI: Flow Matching Mutual Information Estimation
par: Butakov, Ivan, et autres
Publié: (2025)

Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
par: Semenenko, Alexander, et autres
Publié: (2025)

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
par: Butakov, Ivan, et autres
Publié: (2024)

On the Properties and Estimation of Pointwise Mutual Information Profiles
par: Czyż, Paweł, et autres
Publié: (2023)

Mutual Information Multinomial Estimation
par: Chen, Yanzhi, et autres
Publié: (2024)

Discrete Bridges for Mutual Information Estimation
par: Zabarianska, Iryna, et autres
Publié: (2026)

A Neural Difference-of-Entropies Estimator for Mutual Information
par: Ni, Haoran, et autres
Publié: (2025)

Estimating Conditional Mutual Information for Dynamic Feature Selection
par: Gadgil, Soham, et autres
Publié: (2023)

MIST: Mutual Information Estimation Via Supervised Training
par: Gritsai, German, et autres
Publié: (2025)

Structure Learning via Mutual Information
par: Nixon, Jeremy
Publié: (2024)

Contrastive Predictive Coding Done Right for Mutual Information Estimation
par: Ryu, J. Jon, et autres
Publié: (2025)

Mutual Information Estimation via $f$-Divergence and Data Derangements
par: Letizia, Nunzio A., et autres
Publié: (2023)

InfoBridge: Mutual Information estimation via Bridge Matching
par: Kholkin, Sergei, et autres
Publié: (2025)

VBO-MI: A Fully Gradient-Based Bayesian Optimization Framework Using Variational Mutual Information Estimation
par: Mirkarimi, Farhad
Publié: (2026)

Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Information
par: Cheng, Yuan, et autres
Publié: (2025)

Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models
par: Sharma, Jai, et autres
Publié: (2026)

Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information
par: Liang, Jiaming, et autres
Publié: (2024)

Generalization in Federated Learning: A Conditional Mutual Information Framework
par: Wang, Ziqiao, et autres
Publié: (2025)

Accurate Estimation of Mutual Information in High Dimensional Data
par: Abdelaleem, Eslam, et autres
Publié: (2025)

Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching
par: Fan, Xiaotian, et autres
Publié: (2026)

Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers
par: Ye, Linfeng, et autres
Publié: (2026)

Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
par: Hu, Haoji, et autres
Publié: (2026)

Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
par: Vahedifar, Mohammad Ali, et autres
Publié: (2023)

Fast Mutual Information Computation for Large Binary Datasets
par: Falcao, Andre O.
Publié: (2024)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
par: Samra, Abdulaziz, et autres
Publié: (2024)

Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions
par: Tuononen, Marko, et autres
Publié: (2024)

Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
par: Lau, Ivan, et autres
Publié: (2025)

Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
par: Lau, Ivan, et autres
Publié: (2026)

Generalized Derangetropy Functionals for Modeling Cyclical Information Flow
par: Ataei, Masoud, et autres
Publié: (2025)

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
par: Zhao, Wenyuan, et autres
Publié: (2025)

TREET: TRansfer Entropy Estimation via Transformers
par: Luxembourg, Omer, et autres
Publié: (2024)

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
par: Gusak, Danil, et autres
Publié: (2025)

Unifying Information-Theoretic and Pair-Counting Clustering Similarity
par: Gates, Alexander J.
Publié: (2025)

Convergence of Statistical Estimators via Mutual Information Bounds
par: Khribch, El Mahdi, et autres
Publié: (2024)

MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness
par: Monnier, Jeanne, et autres
Publié: (2026)

ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks
par: Reinhardt, Manuel, et autres
Publié: (2025)

Predictability Analysis of Regression Problems via Conditional Entropy Estimations
par: Fang, Yu-Hsueh, et autres
Publié: (2024)

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
par: Artemasov, Dmitry, et autres
Publié: (2026)

The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
par: Chun, Sungbae
Publié: (2026)