Mutual information and task-relevant latent dimensionality
Fuente:
arXiv
Saved in:
| Main Authors: | Gulati, Paarth, Abdelaleem, Eslam, Sederberg, Audrey, Nemenman, Ilya |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accurate Estimation of Mutual Information in High Dimensional Data
by: Abdelaleem, Eslam, et al.
Published: (2025)
by: Abdelaleem, Eslam, et al.
Published: (2025)
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
by: Martini, K. Michael, et al.
Published: (2026)
by: Martini, K. Michael, et al.
Published: (2026)
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023)
by: Abdelaleem, Eslam, et al.
Published: (2023)
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
by: Abdelaleem, Eslam, et al.
Published: (2023)
by: Abdelaleem, Eslam, et al.
Published: (2023)
Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
by: Abdelaleem, Eslam
Published: (2024)
by: Abdelaleem, Eslam
Published: (2024)
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
by: Martini, K. Michael, et al.
Published: (2023)
by: Martini, K. Michael, et al.
Published: (2023)
Better Together: Cross and Joint Covariances Enhance Signal Detectability in Undersampled Data
by: Swain, Arabind, et al.
Published: (2025)
by: Swain, Arabind, et al.
Published: (2025)
Fisher information flow in artificial neural networks
by: Weimar, Maximilian, et al.
Published: (2025)
by: Weimar, Maximilian, et al.
Published: (2025)
Distribution of singular values in large sample cross-covariance matrices
by: Swain, Arabind, et al.
Published: (2025)
by: Swain, Arabind, et al.
Published: (2025)
Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers
by: Schmid, Jonas M., et al.
Published: (2026)
by: Schmid, Jonas M., et al.
Published: (2026)
An information field theory approach to Bayesian state and parameter estimation in dynamical systems
by: Hao, Kairui, et al.
Published: (2023)
by: Hao, Kairui, et al.
Published: (2023)
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification
by: Alberts, Alex, et al.
Published: (2023)
by: Alberts, Alex, et al.
Published: (2023)
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models
by: Pickering, Ethan, et al.
Published: (2022)
by: Pickering, Ethan, et al.
Published: (2022)
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
by: Kavrakov, Igor, et al.
Published: (2024)
by: Kavrakov, Igor, et al.
Published: (2024)
Extrinsic vs Intrinsic Criticality in Systems with Many Components
by: Ngampruetikorn, Vudtiwat, et al.
Published: (2023)
by: Ngampruetikorn, Vudtiwat, et al.
Published: (2023)
Tunable correlation retention: A statistical method for generating synthetic data
by: Jävergård, Nicklas, et al.
Published: (2024)
by: Jävergård, Nicklas, et al.
Published: (2024)
Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)
by: Ganassali, Luca, et al.
Published: (2022)
CausationEntropy: Pythonic Optimal Causation Entropy
by: Slote, Kevin, et al.
Published: (2026)
by: Slote, Kevin, et al.
Published: (2026)
Learning Complex Physical Regimes via Coverage-oriented Uncertainty Quantification: An application to the Critical Heat Flux
by: Cazzola, Michele, et al.
Published: (2026)
by: Cazzola, Michele, et al.
Published: (2026)
From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Data-driven Progressive Discovery of Physical Laws
by: Xia, Mingkun, et al.
Published: (2026)
by: Xia, Mingkun, et al.
Published: (2026)
A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations
by: Casadei, Diego
Published: (2026)
by: Casadei, Diego
Published: (2026)
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries
by: Hassanaly, Malik, et al.
Published: (2026)
by: Hassanaly, Malik, et al.
Published: (2026)
Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent
by: Imai, Shota, et al.
Published: (2026)
by: Imai, Shota, et al.
Published: (2026)
KANs need curvature: penalties for compositional smoothness
by: Bagrow, James
Published: (2026)
by: Bagrow, James
Published: (2026)
Scientific Data Compression and Super-Resolution Sampling
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
GAMMA_FLOW: Guided Analysis of Multi-label spectra by MAtrix Factorization for Lightweight Operational Workflows
by: Rädle, Viola, et al.
Published: (2025)
by: Rädle, Viola, et al.
Published: (2025)
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
by: Nam, Yoonsoo, et al.
Published: (2025)
by: Nam, Yoonsoo, et al.
Published: (2025)
Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations
by: Ni, Yuan, et al.
Published: (2025)
by: Ni, Yuan, et al.
Published: (2025)
Learning effective good variables from physical data
by: Barletta, Giulio, et al.
Published: (2024)
by: Barletta, Giulio, et al.
Published: (2024)
Development of a high-resolution indoor radon map using a new machine learning-based probabilistic model and German radon survey data
by: Petermann, Eric, et al.
Published: (2023)
by: Petermann, Eric, et al.
Published: (2023)
Reliable Statistical Guarantees for Conformal Predictors with Small Datasets
by: Sánchez-Domínguez, Miguel, et al.
Published: (2025)
by: Sánchez-Domínguez, Miguel, et al.
Published: (2025)
Scalable Sparse Regression for Model Discovery: The Fast Lane to Insight
by: Golden, Matthew
Published: (2024)
by: Golden, Matthew
Published: (2024)
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
by: Ziatdinov, Maxim
Published: (2024)
by: Ziatdinov, Maxim
Published: (2024)
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
by: Mei, Lin-Feng, et al.
Published: (2024)
by: Mei, Lin-Feng, et al.
Published: (2024)
Phase transitions reveal hierarchical structure in deep neural networks
by: Ersoy, Ibrahim Talha, et al.
Published: (2025)
by: Ersoy, Ibrahim Talha, et al.
Published: (2025)
Topological Learning in Multi-Class Data Sets
by: Griffin, Christopher, et al.
Published: (2023)
by: Griffin, Christopher, et al.
Published: (2023)
Data augmentation using diffusion models to enhance inverse Ising inference
by: Lim, Yechan, et al.
Published: (2025)
by: Lim, Yechan, et al.
Published: (2025)
Dreaming Learning
by: Londei, Alessandro, et al.
Published: (2024)
by: Londei, Alessandro, et al.
Published: (2024)
AI Meets Antimatter: Unveiling Antihydrogen Annihilations
by: Ferreira, Ashley, et al.
Published: (2024)
by: Ferreira, Ashley, et al.
Published: (2024)
Similar Items
-
Accurate Estimation of Mutual Information in High Dimensional Data
by: Abdelaleem, Eslam, et al.
Published: (2025) -
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
by: Martini, K. Michael, et al.
Published: (2026) -
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023) -
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
by: Abdelaleem, Eslam, et al.
Published: (2023) -
Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
by: Abdelaleem, Eslam
Published: (2024)