Image de couverture de livre

Synergy as the failure of distributivity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sevostianov, Ivan A., Feinerman, Ofer
Format:	Preprint
Publié:	2024
Sujets:	Information Theory Biological Physics Data Analysis, Statistics and Probability
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
par: Dehghani, Nima
Publié: (2025)

Super-resolved anomalous diffusion: deciphering the joint distribution of anomalous exponent and diffusion coefficient
par: Lanoiselée, Yann, et autres
Publié: (2024)

Manifold-based transformation of probability distributions: application to the inverse problem of reconstructing distributions from experimental data
par: Oroguchi, Tomotaka, et autres
Publié: (2024)

Modular Debiasing: A Robust Method for Quantum Randomness Extraction
par: Gueron, Eduardo
Publié: (2025)

Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring
par: González, Louis, et autres
Publié: (2026)

Geometric phase predicts locomotion performance in undulating living systems across scales
par: Rieser, Jennifer M, et autres
Publié: (2019)

A unifying approach to diffusive transport in heterogeneous media
par: Lanoiselée, Yann, et autres
Publié: (2026)

How Easy Is It to Learn Motion Models from Widefield Fluorescence Single Particle Tracks?
par: Hendrix, Zachary H., et autres
Publié: (2025)

Exact Identity Linking Entropy Production and Mutual Information
par: Cho, Doohyeong, et autres
Publié: (2025)

Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data
par: Westerkamp, Margret, et autres
Publié: (2024)

The correlated matching decoder for the 4.8.8 color code
par: Liu, Yantong, et autres
Publié: (2025)

Information-theoretic analysis of temporal dependence in discrete stochastic processes: Application to precipitation predictability
par: De Gregorio, Juan, et autres
Publié: (2025)

The parenthood effect in urban mobility
par: Macedo, Mariana, et autres
Publié: (2025)

A Thermodynamic Structure of Asymptotic Inference
par: Wong, Willy
Publié: (2026)

Characterising high-order interdependence via entropic conjugation
par: Rosas, Fernando E., et autres
Publié: (2024)

Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations
par: Raddi, Robert M., et autres
Publié: (2024)

Trajectory analysis through entropy characterization over coded representation
par: Peña-Mendieta, Roxana, et autres
Publié: (2024)

A totally empirical basis of science
par: Loukas, Orestis, et autres
Publié: (2024)

Noise-Robust One-Bit Diffraction Tomography and Optimal Dose Fractionation
par: Chen, Pengwen, et autres
Publié: (2023)

Physics-Aware, Shannon-Optimal Compression via Arithmetic Coding for Distributional Fidelity
par: Fanelli, Cristiano
Publié: (2026)

Physics-based signal analysis of genome sequences: GenomeBits overview
par: Canessa, E.
Publié: (2023)

Machine learning from limited data: Predicting biological dynamics under a time-varying external input
par: Kang, Hoony, et autres
Publié: (2024)

Automated Preparation of Nanoscopic Structures: Graph-Based Sequence Analysis, Mismatch Detection, and pH-Consistent Protonation with Uncertainty Estimates
par: Csizi, Katja-Sophia, et autres
Publié: (2023)

Network analysis with quantum dynamics clarifies why photosystem II exploits both chlorophyll a and b
par: Kim, Eunchul, et autres
Publié: (2021)

Exact calculation of the probabilities of rare events in cluster-cluster aggregation
par: Rajesh, R., et autres
Publié: (2024)

Hamiltonian replica exchange augmented with diffusion-based generative models and importance sampling to assess biomolecular conformational basins and barriers
par: Benayad, Zakarya, et autres
Publié: (2025)

Deep brain microelectrode signal: $q$-statistical approach
par: Tavares, Ana Luiza Souza, et autres
Publié: (2026)

Inference through innovation processes tested in the authorship attribution task
par: Raffaelli, Giulio Tani, et autres
Publié: (2023)

Closed-form linear moments of the two-dimensional angular central Gaussian distribution
par: Vareilles, Siméon
Publié: (2026)

Stochastic synchronization induced by noise
par: Song, Yunxiang, et autres
Publié: (2021)

Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software
par: Büth, Carlson Moses, et autres
Publié: (2025)

infomeasure: A Comprehensive Python Package for Information Theory Measures and Estimators
par: Büth, Carlson Moses, et autres
Publié: (2025)

Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
par: Abdelaleem, Eslam
Publié: (2024)

Simple measures to capture the robustness and the plasticity of soil microbial communities
par: Shimada, Takashi, et autres
Publié: (2024)

Tipping points in fitness landscape of heterogeneous populations
par: Bhattacharyya, Sumana, et autres
Publié: (2024)

Towards Ultimate NMR Resolution with Deep Learning
par: Jahangiri, Amir, et autres
Publié: (2025)

On the reconstruction limits of complex networks
par: Murphy, Charles, et autres
Publié: (2024)

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series
par: Nguyen, Aria, et autres
Publié: (2024)

Unsupervised learning of anomalous diffusion data
par: Muñoz-Gil, Gorka, et autres
Publié: (2021)

Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
par: Dodds, P. S., et autres
Publié: (2020)