Higher order definition of causality by optimally conditioned transfer entropy
Fuente:
arXiv
Saved in:
| Main Authors: | Kořenek, Jakub, Sanda, Pavel, Hlinka, Jaroslav |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Surveying the space of descriptions of a composite system with machine learning
by: Murphy, Kieran A., et al.
Published: (2024)
by: Murphy, Kieran A., et al.
Published: (2024)
Accurate Estimation of Mutual Information in High Dimensional Data
by: Abdelaleem, Eslam, et al.
Published: (2025)
by: Abdelaleem, Eslam, et al.
Published: (2025)
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)
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023)
by: Abdelaleem, Eslam, et al.
Published: (2023)
Trajectory analysis through entropy characterization over coded representation
by: Peña-Mendieta, Roxana, et al.
Published: (2024)
by: Peña-Mendieta, Roxana, et al.
Published: (2024)
First-Extinction Law for Resampling Processes
by: Benati, Matteo, et al.
Published: (2025)
by: Benati, Matteo, et al.
Published: (2025)
Characterising high-order interdependence via entropic conjugation
by: Rosas, Fernando E., et al.
Published: (2024)
by: Rosas, Fernando E., 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)
Inference in conditioned dynamics through causality restoration
by: Braunstein, Alfredo, et al.
Published: (2022)
by: Braunstein, Alfredo, et al.
Published: (2022)
A Quantifiable Information-Processing Hierarchy Provides a Necessary Condition for Detecting Agency
by: Kagan, Brett J., et al.
Published: (2026)
by: Kagan, Brett J., et al.
Published: (2026)
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
by: Dehghani, Nima
Published: (2025)
by: Dehghani, Nima
Published: (2025)
Meta-learning optimizes predictions of missing links in real-world networks
by: Singh, Bisman, et al.
Published: (2025)
by: Singh, Bisman, et al.
Published: (2025)
Disentangling high order effects in the transfer entropy
by: Stramaglia, Sebastiano, et al.
Published: (2024)
by: Stramaglia, Sebastiano, et al.
Published: (2024)
Probability Tools for Sequential Random Projection
by: Li, Yingru
Published: (2024)
by: Li, Yingru
Published: (2024)
Hybrid Summary Statistics
by: Makinen, T. Lucas, et al.
Published: (2024)
by: Makinen, T. Lucas, et al.
Published: (2024)
Information decomposition in complex systems via machine learning
by: Murphy, Kieran A., et al.
Published: (2023)
by: Murphy, Kieran A., et al.
Published: (2023)
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
by: Ruggeri, Nicolò, et al.
Published: (2023)
by: Ruggeri, Nicolò, et al.
Published: (2023)
A Thermodynamic Structure of Asymptotic Inference
by: Wong, Willy
Published: (2026)
by: Wong, Willy
Published: (2026)
Maximum entropy based testing in network models: ERGMs and constrained optimization
by: Ghosh, Subhro, et al.
Published: (2026)
by: Ghosh, Subhro, et al.
Published: (2026)
Conditional probability and interferences in generalized measurements with or without definite causal order
by: Trassinelli, Martino
Published: (2020)
by: Trassinelli, Martino
Published: (2020)
Zeroth-order Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2025)
by: Kook, Yunbum, et al.
Published: (2025)
A totally empirical basis of science
by: Loukas, Orestis, et al.
Published: (2024)
by: Loukas, Orestis, et al.
Published: (2024)
Noise-Robust One-Bit Diffraction Tomography and Optimal Dose Fractionation
by: Chen, Pengwen, et al.
Published: (2023)
by: Chen, Pengwen, et al.
Published: (2023)
Physics-Aware, Shannon-Optimal Compression via Arithmetic Coding for Distributional Fidelity
by: Fanelli, Cristiano
Published: (2026)
by: Fanelli, Cristiano
Published: (2026)
Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
by: Idris, Mohamed Hassan Abdalla, et al.
Published: (2025)
by: Idris, Mohamed Hassan Abdalla, et al.
Published: (2025)
L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
by: Chen, Zhuo, et al.
Published: (2025)
by: Chen, Zhuo, et al.
Published: (2025)
Assessing high-order effects in feature importance via predictability decomposition
by: Ontivero-Ortega, Marlis, et al.
Published: (2024)
by: Ontivero-Ortega, Marlis, et al.
Published: (2024)
Information-theoretic Quantification of High-order Feature Effects in Classification Problems
by: Lazic, Ivan, et al.
Published: (2025)
by: Lazic, Ivan, et al.
Published: (2025)
Higher-order null models as a lens for social systems
by: Preti, Giulia, et al.
Published: (2024)
by: Preti, Giulia, et al.
Published: (2024)
Integral Betti signature confirms the hyperbolic geometry of brain, climate, and financial networks
by: Caputi, Luigi, et al.
Published: (2024)
by: Caputi, Luigi, et al.
Published: (2024)
Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
by: Giuliani, Pablo, et al.
Published: (2024)
by: Giuliani, Pablo, et al.
Published: (2024)
When does the mean network capture the topology of a sample of networks?
by: Meyer, François G
Published: (2024)
by: Meyer, François G
Published: (2024)
Flexible inference in heterogeneous and attributed multilayer networks
by: Contisciani, Martina, et al.
Published: (2024)
by: Contisciani, Martina, et al.
Published: (2024)
The Spectral Barycentre of a Set of Graphs with Community Structure
by: Meyer, François G.
Published: (2025)
by: Meyer, François G.
Published: (2025)
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks
by: Qing, Huan, et al.
Published: (2022)
by: Qing, Huan, et al.
Published: (2022)
High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
by: Agarwala, Atish, et al.
Published: (2024)
by: Agarwala, Atish, et al.
Published: (2024)
On the reconstruction limits of complex networks
by: Murphy, Charles, et al.
Published: (2024)
by: Murphy, Charles, et al.
Published: (2024)
A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series
by: Nguyen, Aria, et al.
Published: (2024)
by: Nguyen, Aria, et al.
Published: (2024)
Modular Debiasing: A Robust Method for Quantum Randomness Extraction
by: Gueron, Eduardo
Published: (2025)
by: Gueron, Eduardo
Published: (2025)
Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
by: Yang, Kai
Published: (2025)
by: Yang, Kai
Published: (2025)
Similar Items
-
Surveying the space of descriptions of a composite system with machine learning
by: Murphy, Kieran A., et al.
Published: (2024) -
Accurate Estimation of Mutual Information in High Dimensional Data
by: Abdelaleem, Eslam, et al.
Published: (2025) -
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
by: Martini, K. Michael, et al.
Published: (2023) -
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023) -
Trajectory analysis through entropy characterization over coded representation
by: Peña-Mendieta, Roxana, et al.
Published: (2024)