Copertina

Parameter and hidden-state inference in mean-field models from partial observations of finite-size neural networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ratas, Irmantas, Pyragas, Kestutis
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Chaotic Dynamics Data Analysis, Statistics and Probability
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Parameter inference from a non-stationary unknown process
di: Owens, Kieran S., et al.
Pubblicazione: (2024)

Analog-based ensembles to characterize turbulent dynamics from observed data
di: Granero-Belinchon, Carlos
Pubblicazione: (2025)

Survival probability of random networks
di: Peralta-Martinez, Kevin, et al.
Pubblicazione: (2026)

Disentangling synchrony from serial dependency in paired event time series
di: Odenweller, Adrian, et al.
Pubblicazione: (2019)

Distinguishing pairwise and higher-order interactions in coupled oscillators from time series
di: Su, Weiwei, et al.
Pubblicazione: (2025)

Large earthquake genesis processes observed with Physical Wavelets
di: Takeda, Fumihide
Pubblicazione: (2022)

Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems
di: Lehnertz, Klaus
Pubblicazione: (2024)

Quantifying the irregularity of a time series
di: Potratzki, Max, et al.
Pubblicazione: (2025)

Recurrence Patterns Correlation
di: Marghoti, Gabriel, et al.
Pubblicazione: (2025)

Local predictors of explosive synchronization with ordinal methods
di: Leyva, I., et al.
Pubblicazione: (2025)

Universal Scaling Laws in Freeway Traffic
di: Lee, Garyoung, et al.
Pubblicazione: (2025)

Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensions
di: Kraemer, K. Hauke, et al.
Pubblicazione: (2025)

Classifying Complex Dynamical and Stochastic Systems via Physics-Based Recurrence Features
di: Silveira, J. V. M., et al.
Pubblicazione: (2025)

Transcript-based estimators for characterizing interactions
di: Adams, Manuel, et al.
Pubblicazione: (2025)

Eigenvector Geometry as a New Route to Criticality in Random Multiplicative Systems
di: Troude, Virgile, et al.
Pubblicazione: (2025)

Multivariate Joint Recurrence Quantification Analysis: detecting coupling between time series of different dimensionalities
di: Wallot, Sebastian, et al.
Pubblicazione: (2023)

Energy-efficient recurrence quantification analysis
di: Marwan, Norbert
Pubblicazione: (2025)

Approach to predicting extreme events in time series of chaotic dynamical systems using machine learning techniques
di: Andreani, Alexandre C., et al.
Pubblicazione: (2025)

Identifying statistical indicators of temporal asymmetry using a data-driven approach
di: Nogare, Teresa Dalle, et al.
Pubblicazione: (2025)

Challenges and perspectives in recurrence analyses of event time series
di: Marwan, Norbert
Pubblicazione: (2024)

Data-driven model discovery with Kolmogorov-Arnold networks
di: Moradi, Mohammadamin, et al.
Pubblicazione: (2024)

Characterising the dynamics of unlabelled temporal networks
di: Caligiuri, Annalisa, et al.
Pubblicazione: (2024)

Spectral fluctuations and crossovers in multilayer network
di: Shekhar, Himanshu, et al.
Pubblicazione: (2025)

Revealing dynamics of non-autonomous complex systems from data
di: Zhuge, Chengzuo, et al.
Pubblicazione: (2026)

Learning fluid physics from highly turbulent data using sparse physics-informed discovery of empirical relations (SPIDER)
di: Gurevich, Daniel R., et al.
Pubblicazione: (2021)

Complex network topological and spectral determinants of extreme events
di: Hechler, Christian, et al.
Pubblicazione: (2026)

Complex network approaches to nonlinear time series analysis
di: Zou, Yong, et al.
Pubblicazione: (2025)

Reconstructing dynamics from sparse observations with no training on target system
di: Zhai, Zheng-Meng, et al.
Pubblicazione: (2024)

Unifying Lyapunov exponents with probabilistic uncertainty quantification
di: Blake, Liam, et al.
Pubblicazione: (2024)

Limits to extreme event forecasting in chaotic systems
di: Yuan, Yuan, et al.
Pubblicazione: (2024)

Causal analysis of inner and outer motions in near-wall turbulence
di: Zhang, Jingxuan, et al.
Pubblicazione: (2024)

Entropy estimators for Markovian sequences: A comparative analysis
di: De Gregorio, Juan, et al.
Pubblicazione: (2023)

Identifying Extreme Events in the Stock Market: A Topological Data Analysis
di: Rai, Anish, et al.
Pubblicazione: (2024)

A General Framework for Linking Free and Forced Fluctuations via Koopmanism
di: Lucarini, Valerio, et al.
Pubblicazione: (2025)

Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes
di: Soriano, Diogo C., et al.
Pubblicazione: (2026)

Data-driven sequential analysis of tipping in high-dimensional complex systems
di: Hirose, Tomomasa, et al.
Pubblicazione: (2026)

The conditional-mean barrier: From deterministic regression to conditional distribution learning
di: Chen, Junfeng
Pubblicazione: (2026)

A scalable generative model for dynamical system reconstruction from neuroimaging data
di: Volkmann, Eric, et al.
Pubblicazione: (2024)

Stochastic reduced-order Koopman model for turbulent flows
di: Chu, Tianyi, et al.
Pubblicazione: (2025)

Vestibular reservoir computing
di: Deb, Smita, et al.
Pubblicazione: (2026)